Background: Biotechnology is a multidisciplinary field based on the expertise of molecular biology, chemistry, biochemistry, chemical and biological engineering, and digital computing. Biotechnology plays an important role in modern forensic science, driving advances in analytical tools and techniques.This review study provides a brief overview of applications, highlighting advances in forensic biotechnology and key technologies involved in the domains of genomics and DNA analysis, microbial forensics, forensic medicine, and forensic serology. The integration of forensic expertise with technology has increased the accuracy, sensitivity, and efficiency of forensic casework.Conclusions: This interdisciplinary field extends beyond its usual association with biology to also include chemistry, fingerprint analysis, and toxicology, among others. Continued progress and innovation in this advanced field will further enhance investigative capabilities and facilitate the pursuit of justice.
Cardiovascular Diseases (CVDs) remain a major global health concern, necessitating accurate and comprehensive diagnostic techniques. Traditional medical imaging modalities, such as CT angiography, PET, MRI, and ultrasound, provide crucial but limited information when used independently. Image fusion techniques integrate complementary modalities, enhance visualization, and improve diagnostic accuracy. This paper presents a theoretical study of advanced image fusion methods applied to cardiovascular imaging. We explore wavelet-based, Principal Component Analysis (PCA), and deep learning-driven fusion models, emphasizing their theoretical underpinnings, mathematical formulation, and potential clinical applications. The proposed framework enables improved coronary artery visualization, cardiac function assessment, and real-time hemodynamic analysis, offering a non-invasive and highly effective approach to cardiovascular diagnostics.MSC Codes: 68U10,94A08,92C55,65T60,62H25,68T07.
Background: The health professional appears to be concerned given the number of questions surrounding the patient’s post-transplant survival, patient selection method, and the continuous search for scores that reflect their reality and reconcile the results they desire with the patient’s expectations. It is from these considerations that the present work was born with the purpose of understanding the reality of patients hospitalized for hepatocellular carcinoma and what adherence to the Model For End-Stage Liver Disease (MELD) criteria meant in Brazil. Methods: This study is a discrete, univariate time series on emergency hospitalizations that occurred between 2000 and 2018, in the city of São Paulo, Brazil. Python version 3.11 was the software used for statistical treatment and analysis of the time series. Results: There were 6887 hospitalizations for malignant neoplasm of liver and intrahepatic bile ducts, in the period 2000-2006, of which 2898 were elective and 3915 (56.85%) were urgent in the period. There was an increase of 63.97% in the number of emergency hospitalizations in relation to the period 2000-2006 and 2007-2013. To highlight, in 2013 there were 1270 emergency admissions, which represented an increase of 109.22% in relation to the number of emergency admissions in 2006. The contingency correlation analysis demonstrated a significant association between the variables in which the chi-square value was 82.18, the p-value was 1.24 x 10-19, and the critical value was 3.84 with one degree of freedom. There was a 123.65% increase in the number of hospitalizations for chronic hepatitis, not elsewhere classified, between the periods 2000-2006 and 2007-2013. The chi-square value of the contingency association was 221.22, with a p-value of 4.90 x 10-50, a critical value of 9.488, with a significance level of 5% and one degree of freedom. The study showed an increase in hospitalizations of 21.88% for alcoholic liver disease between the periods 2000-2006 and 2007-2013. In the period 2000-2006, there were 21330 hospitalizations, 19224 of which were urgent (90.13%). In the period 2007-2013, there were 25997 hospitalizations, of which 22,802 (87.71%) occurred urgently. The chi-square value was 68.95, the p-value was 1 x 10-16, and the critical value was 3.84, with one degree of freedom. Conclusion: The MELD score, as it is sensitive to the patient’s severity, selects those who are at an advanced stage of the disease for liver transplantation. In this scenario, patients do not necessarily have access to outpatient services and begin to attend them regularly when MELD identifies the advanced stage of the disease, opening a gap between prevention, treatment, and rehabilitation.
The integration of deep learning and genetic analysis has transformed the assessment of elite sports performance, particularly in competitive swimming. This study examines the fusion of deep learning techniques with DNA markers, physiological biometrics, and performance analytics to enhance the prediction and optimization of swimmer performance. A structured dataset comprising genetic sequences, physiological parameters, and biomechanical attributes was utilized to train a neural network model capable of categorizing swimmers based on genetic predisposition and athletic potential. The model achieved high classification accuracy, demonstrating a strong link between genetic markers, physiological traits, and competitive swimming outcomes. The findings emphasize the potential of AI-driven analytics in talent identification, customized training adaptations, and injury prevention. Furthermore, the study highlights the effectiveness of deep learning in analyzing complex genomic and physiological data to generate meaningful insights for performance enhancement. While the results validate the feasibility of using genetic and AI-based models for performance prediction, further studies are needed to broaden dataset diversity, integrate epigenetic influences, and test the model across varied athlete populations. This research contributes to the expanding field of AI-driven sports science and provides a solid foundation for incorporating genomics with deep learning to enhance elite athletic performance.
Naema Al-Maymani*, Raya Al-Mamari, Subhash Kheruka, Amna Al-Jabri, Noura Al-Makhmari, Sana Al-Rashdi, Huoda Al-Saidi, Anas Al-Balushi and Rashid Al-Sukaiti
Published on: 31st March, 2025
Background: Full-field Digital Mammography (FFDM) is essential for the early detection of breast cancer. Digital Breast Tomosynthesis (DBT) has improved cancer diagnosis and reduced false positives in mammography . This study evaluated DRLs for FFDM and DBT at various ranges of Compressed Breast Thickness (CBT).Material and methods: We evaluated the parameters like Average Glandular Dose (AGD), kVp, mAs, Entrance Surface Dose (ESD), and CBT in a retrospective analysis of FFDM and DBT. We computed the mean, median, range, and 75th percentile for Craniocaudal (CC) and Mediolateral Oblique (MLO) views at various breast thicknesses.Results: The DRLs were 0.70 mGy to 2.55 mGy for FFDM and 0.94 mGy to 3.67 mGy for DBT for breast thickness in the range from 20 mm to 89 mm.Conclusion: This analysis revealed that DRLs were significantly lower than international benchmarks . Mammography radiation dose optimisation enhances diagnostic accuracy and patient safety.
Praveen Kumar Rathore, Eshank Gupta and Prabhu Prakash
Published on: 1st April, 2025
The concurrent emergence of dengue fever and the COVID-19 pandemic posed significant challenges to India’s healthcare system, particularly in Western Rajasthan, a region characterized by its arid climate and unique socio-demographic conditions. This study aimed to investigate the clinical and molecular characteristics of dengue during the COVID-19 pandemic, focusing on trends, diagnostic challenges, and serotype distribution. Conducted at Dr. S.N. Medical College, Jodhpur, in 2021, the study included 550 dengue-positive patients confirmed via rapid diagnostic tests and further analyzed using Dengue NS1 antigen and IgM antibody ELISA. Molecular characterization was performed using RT-PCR for serotyping.The results revealed a male predominance (72.36%) and a higher incidence in the 21–30-year age group (39.09%). Urban areas accounted for 67.73% of cases, with significant NS1 and IgM positivity (p = 0.042 and p = 0.004, respectively). Most cases (86.91%) were managed outpatient, though IgM positivity was significantly higher among hospitalized patients (19.19%, p < 0.001), indicating severe or prolonged infections. Platelet counts were above 100,000/mm³ in 86.91% of cases, with only 0.37% showing critically low counts (< 20,000/mm³). Seasonal analysis showed a peak in October (n = 325), correlating with post-monsoon vector breeding. Serotyping identified DENV2 as the dominant strain (97.42%), associated with severe dengue manifestations, including Dengue Haemorrhagic Fever (DHF).The study highlights the dual burden of dengue and COVID-19, emphasizing the need for enhanced vector control, improved diagnostic strategies and public health interventions during overlapping outbreaks. The predominance of DENV2 underscores the importance of serotype-specific surveillance and preparedness to mitigate future dengue epidemics in the region.
Multiple stab wounds are a critical forensic indicator, frequently linked to violent assaults, homicides, or self-inflicted injuries. These penetrating injuries result from sharp-edged weapons such as knives, daggers, or other pointed instruments. The depth, size, and severity of the wounds depend on factors including the type of weapon used, the force applied, and the anatomical location of impact. Forensic examination of stab wounds is essential in determining the manner of death—homicidal, suicidal, or accidental. Detailed analysis of wound characteristics, such as depth, trajectory, and associated injuries, aids in crime scene reconstruction. Additionally, identifying defensive wounds can indicate victim resistance, further supporting forensic interpretations. A meticulous forensic autopsy, including weapon analysis and internal organ assessment, is crucial in establishing the cause of death. These findings play a vital role in medico-legal investigations, providing key forensic evidence that supports legal proceedings and ensures justice.
Background: Human trafficking is a significant global issue that affects millions of individuals, where victim identification remains a major challenge. Traditional methods such as DNA or fingerprint analysis are not always viable, necessitating alternative forensic approaches.Methods: This article reviews the role of dental identification in human trafficking cases through an extensive analysis of existing literature. The study incorporates forensic odontology techniques, including dental charting, radiographic analysis, bite mark analysis, age estimation, and emerging technologies like Artificial Intelligence (AI).Results: Findings indicate that dental identification methods are essential for victim identification, especially when conventional methods prove ineffective. AI integration enhances the accuracy and efficiency of dental forensic investigations, addressing challenges such as record access and cross-border complexities.Conclusion: Dental identification, augmented by AI advancements, is an indispensable tool in forensic investigations related to human trafficking. The study underscores the necessity of international collaboration and technological innovation to enhance forensic practices.
Touch DNA, the minute quantities of DNA deposited through skin contact, has become a valuable tool in forensic investigations. However, the recovery of touch DNA from non-porous surfaces remains a challenging task, requiring optimized collection and extraction techniques to maximize DNA yield, because non-porous surfaces have smooth, non-absorbing material properties. This review explores various non-porous surfaces such as glass, plastic, and metal, analyzing their impact on DNA recovery efficiency. Different collection methods, including swabbing, tape lifting, scrubbing, and vacuum collection methods, are evaluated to determine their effectiveness in retrieving minute amounts of DNA from these surfaces. Through a comparative analysis of existing studies, this paper identifies which collection methods work best for different non-porous surfaces and why choosing the right technique matters. Factors such as surface type, environmental conditions, and collection technique performed, time duration, and so on can affect DNA recovery, making it crucial to use the most effective approach. This review also emphasizes the need for standardized protocols to ensure consistent and reliable results in forensic investigations. Having clear guidelines can reduce errors, improve DNA analysis, and make touch DNA analysis more reliable in forensic investigations. By focusing on these aspects, this study aims to contribute to the ongoing efforts in refining touch DNA recovery strategies.
Objective: Comparison of visual field progression in patients with Primary Open-angle Glaucoma (POAG) and Pseudo Exfoliative Glaucoma (PEXG).Methods and materials: This is a 2-year longitudinal prospective study including 60 glaucomatous eyes with VA CF ≥ 3 m, IOP ≥ 20 mmHg, CDR ≥ 0.6 and those with Shaffer’s grade 3 or above were categorized as POAG along with signs of Pseudo exfoliative material as PEXG.Patients on anti-glaucoma medications and those who have undergone cataract and glaucoma surgeries are also included in this study. 24-2 visual field test was performed using Humphrey Field Analyzer & the progression was assessed based on 3 parameters- Mean Deviation (MD), Visual Field Index (VFI) & Guided Progression Analysis (GPA).Results: The difference in MD & VFI was higher in PEXG (-5.77 dB) (10.88%) than in POAG (-1.56 dB) (7.17%) respectively & was significant statistically (t - test, p = < 0.001). The GPA showed fast progression in 53.30% of cases in PEXG, 13.30% in POAG (Chi-square, p = < 0.001) about 63.30% of POAG & 46.70% of PEXG showed slow- moderate progression, but 23.30% of POAG subjects had no progression.Conclusion: Compared to POAG, the study showed that PEXG had frequent & faster visual field worsening. Therefore, PEXG patients require more stringent management & treatment than those with POAG.
Nidhi Sharma*, Ruchika Kaushik, Tabin Millo and Chittaranjan Behera
Published on: 12th May, 2025
Background & objectives: Mitochondrial DNA (mtDNA) contains valuable genetic information and plays a crucial role in missing person investigations, mass disasters, and forensic cases involving limited or degraded biological material. mtDNA is maternally inherited, with a highly variable control region divided into three hypervariable regions are generally used for forensic investigation. This study aimed to evaluate maternal inheritance patterns of mtDNA using PCR-RFLP techniques to confirm maternal relatedness. Method: The study was designed after prior permission from the institute’s ethical committee in which subjects were enrolled. This pilot study analyzed 50 voluntary participants (mother-child pairs). DNA was extracted from blood or saliva, and the mtDNA hypervariable region (HV region) was amplified by PCR using specific primers for the HV1 region. The amplified fragments (1024 bp) were subjected to RFLP analysis using seven restriction endonucleases (Alu I, BsuR I (Hae III), Hinf I, HsYF31 (Dde I), Mbo I, Rsa I, and SsPI) to reveal morphotypes. Results: The study identified five morphotypes for Alu I, three for BsuR I (Hae III) and Rsa I, two for Hinf I, and one each for HsYF31 (Dde I), Mbo I, and SsPI. There was minimal genetic polymorphism in the hypervariable region among unrelated individuals, but consistent restriction patterns were observed between mothers and their children in same pair. Conclusion: The findings demonstrate the low genetic polymorphism in the hypervariable region among unrelated individuals and consistent restriction patterns within maternal pairs, underscoring mtDNA's utility in forensic and genealogical applications.
Haimeur Yassine*, Aberouch Larbi, Tadili Jawad, Faroudy Mamoun and El Kettani Ali
Published on: 14th May, 2025
Introduction: Flow analysis in the apical view of transthoracic echocardiography is validated to assess fluid responsiveness at the bedside. Still, it is not always reachable, especially in mechanically ventilated patients and during surgery. We compared it to supra-sternal and sub-xiphoid views to evaluate their validity in assessing fluid responsiveness in critically ill patients.Method: A cross-sectional prospective monocentric pilot study of three months duration has been led in the critical care unit for surgical emergencies of Ibn Sina University Hospital of Rabat (Morocco). We used the time-velocity index (VTI) and peak velocity variation (∆Vpeak) values correlation between the three acoustic windows as the main judgment criteria. Measurement of data was made in the Left Ventricle Outflow Tract (LVOT) in the 5-chamber apical view, Descending Thoracic Aorta (DTA) in the supra-sternal view, and Right Ventricle Outflow Tract (RVOT) in the sub-xiphoid view.Results: There were 14 adult patients involved in the study, and the data presented are preliminary results. There was no significant difference in VTI and ∆Vpeak values between the three acoustic windows at each time of the study protocol, with a very high correlation for initial VTI value between 5-chamber apical view and supra-sternal view (r = 0.96, p < 0.001), and sub-xiphoid view (r = 0.86, p < 0.001). A very high correlation of initial ∆Vpeak value was also observed between the 5-chamber apical view and supra-sternal view (rho = 0.89, p < 0.001) and sub-xiphoid view (rho = 0.79, p < 0.001).Discussion: Supra-sternal and sub-xiphoid views showed high potential to predict fluid responsiveness, but further data are needed to validate their use for this purpose in ICU and in operating room.
The examination and the survey of how a person moves, particularly the way of life of walking and running. It entails studying and quantifying a person's gait in terms of their stride length, cadence, foot position, and movement of various body joints. Wearable technology makes it possible to monitor the gait pattern continually while moving about freely. The direction line, gait line, foot line, foot angle, principle line, step length, step breadth, and displacement value obtained from the gyro and accelerated sensors coupled to the shank and thigh are all used to analyze the gait pattern. There has been a lot of research on this method of recognizing people by the way they walk.The two most crucial facts are that OpenPose, a 2D multi-person posture estimation library, can detect 135 critical body locations without the requirement for fiducial markers, and that smartphone cameras can detect the gait pattern without the use of physical markers. In addition, lower extremity sagittal joint angles, spatiotemporal gait parameters, and timings of gait events were independently determined for motion capture. Gait analysis systems use portable, readily available cameras to measure gait characteristics. The pace of gait, length of steps, time of steps, cadence of steps, and the period of stance are the most crucial factors. Recently, the top standard for the examination of gait was used to evaluate the schemes based on two camera usage to evaluate the framework of different gait patterns.The precision of the examination of SCA is being increased by data scientists through the development of AI-based computer algorithms. To increase individualization, Bertillon measured the body and faces of several convicts in 1883.
Hereditary Hemochromatosis (HH) is an inherited recessive autosomal disorder characterized by the accumulation of excess iron. When iron-binding proteins become saturated, concentrations of free or Non-transferrin-bound iron (NTBI) rise, a condition thought to be responsible for the adverse effects associated with HH. To investigate whether disturbing iron homeostasis plays a role in free radical injury in HH, protein carbonyls were found to be 1-7 times higher in patients with HH than in controls, with the greatest increases observed in untreated HH patients with high ferritin and > 90% transferrin saturation with iron. An unpaired t-test revealed a p value of 0.0278 (p < 0.05), which is considered statistically significant.In vitro oxidation of transferrin standards with hydrogen peroxide and excess iron, followed by immobilized trypsin digestion (Poroszyme), high-resolution LC-MS/MS analysis (Q-TOF Ultima, Waters), and MS/MS data processing (PEAKS, Bioinformatics Solution), identified several tryptic peptides containing oxidized Methionine (Met), Tryptophan (Trp), and Histidine (His) residues. Using the same methodology, oxidized residues were subsequently detected in transferrin isolated from plasma samples of patients severely affected by HH. Comparison of MS/MS spectra of in vitro oxidized samples with the most fragment ion peaks in common with oxidized peptide MS/MS spectra from patient samples revealed a strong correlation between the two. These data show that elevated NTBI may be involved in the oxidative modification of transferrin and that such modifications may play a significant role in the pathophysiology of HH.
A specialized installation has been developed for microscopic study of the Reactive Oxygen Species (ROS) formation during microwave irradiation of biological samples with automated control / mechanized tube and real-time data acquisition. The above installation can be used in biomedical practice for: standardization or certification of the microwave sources; testing of the potential antioxidants that protect tissues from ROS-induced effects; testing fluorescent sensors for ROS; analysis of ROS localization and distribution in various tissues in order to establish specific pharmaco-physiotherapeutic and toxicological localizations of ROS in different topographic-anatomical zones. The paper pays special attention to the singlet oxygen produced by the samples upon microwave treatment, as a physiologically active and highly reactive agent.
Eze SM*, Alabi KJ, Yusuf AO, Hamzat FO, A Abdulrauf, Atoyebi AT, Lawal IA, OA Ibrahim, AY Imam-Fulani and Dare BJ
Published on: 3rd June, 2025
Introduction: Forensic psychology plays a critical role in the criminal justice system, bridging the gap between psychology and law enforcement. One of its most significant applications is in criminal profiling, which involves the analysis of crime scene evidence, behavioral patterns, and psychological indicators to construct a profile of potential offenders. This study explores the intersection of forensic psychology and criminal profiling, focusing on how psychological principles aid in understanding and predicting criminal behavior.Aim: The study aimed to evaluate the effectiveness and limitations of criminal profiling as a tool in criminal investigations, and to examine the methodologies that underpin profiling practices as a vital tool in the field of forensic sciences.Methodology: Qualitative content analysis of documented criminal cases from reputable journals were reviewed for this study. Related articles were searched for from Google Scholar and Research Gate using the Keywords. A selection of high-profile cases where profiling significantly contributed to suspect identification were analyzed to assess the practical utility of psychological profiling.Results: The results indicate that while criminal profiling is not a standalone solution, it offers valuable insights when integrated with traditional investigative techniques. Psychological constructs such as personality disorders, cognitive distortions, and behavioral consistency were found to be instrumental in building accurate profiles. However, the findings also highlight challenges including subjectivity, bias, and the risk of stereotyping, potentially compromising investigative objectivity.Conclusion: Forensic psychology, through the application of criminal profiling, provides a powerful adjunct to investigative procedures. When used responsibly and in conjunction with empirical data and forensic evidence, profiling can enhance the efficiency and direction of criminal investigations. Continued research and standardization of profiling methodologies are essential to maximize its reliability and effectiveness in modern forensic practice. This study contributes to a deeper understanding of the practical roles and limitations of forensic psychology’s role in the pursuit of justice.
Introduction: Pleomorphic Carcinoma (PC) is a subset of poorly differentiated non–small cell lung cancer that is diagnostically challenging because it is a rare malignancy of the lung. It shows varying dual-cell components; spindle or giant cells and epithelial cells.Method: We report a case of 68-year-old non-smoking female who presented with cough, fever, pain in the left side of chest & weight loss of recent onset and an abnormal shadow on her chest X-ray. Computed tomography of chest revealed a well defined heterogeneously enhancing cavitatory soft tissue lesion in the posterior basal segment of the left lower lobe with mediastinal lymphadenopathy.Results: Fine needle aspiration cytology& percutaneous lung biopsy confirmed poorly differentiated malignant tumor. Patient underwent a left lower lobectomy. A diagnosis of PC was confirmed after Immunohistochemistry (IHC). Mutation analysis revealed an EGFR exon 21 mutation within the tumor cells. The patient is on Gefitinib based chemotherapy and has remained disease-free for three years post-surgery.Conclusion: PC of the lung is a rare pathological entity. Definite diagnosis may only be made on a resected tumor along with the use of IHC. Surgical resection is the main modality of the treatment. Such rare cases should be documented to establish an optimal management plan and to provide a further insight to targeted therapy.
Cannabis sativum has long been used globally for hallucination. However, detrimental effects on female reproduction have never been studied. The aim of the present paper is to evaluate cannabinoid-induced oxidative stress and reproductive containment in female mice. Fifteen adult female Parkes strain mice were randomly chosen from institutional animal houses (n = 5/group) with ad libitum access to water and food. Animals were grouped into control (vehicle-treated), treated with 6mg of cannabis/100 g of body weight, and 12 mg of cannabis/100 g of body weight. After 15 days all animals were sacrificed and tissues were collected for histology, immunohistochemistry, and estimations of different parameters. Histology and immunohistochemistry (of Cannabinoid Receptor 1; CB1) were performed following standardized protocols. All parameters were estimated either by standard biochemical protocols or by kit following the manufacturer’s protocol. Stress parameters (Super Oxide Dismutase; SOD, Catalase, CAT; Malonaldehyde, MDA and Glutathione Peroxidase; GPx), apoptotic parameters of thecal cells (by Caspase-3 assay), serum level of Estrogen (E2), steroidogenic parameters (3β Hydroxy-steroid dehydrogenase; 3β HSD and 17β Hydroxy-steroid dehydrogenase; 17β HSD) and expression of CB1 were noted in ovary. Data were analyzed by One-way Analysis of Variance (One-way ANOVA) followed by Duncan’s Multiple Range post hoc Test. We found a significant (p < 0.05) decrease in steroidogenic parameters and a significant increase (p < 0.05)in free radical and apoptotic parameters and CB1 receptor expressions upon dose-dependent cannabis treatment. We may conclude that chronic treatment of cannabis causes reproductive containment in females which has never been addressed previously.
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