design

Aims: The purpose of this research was to study the effects of preoperative training on static and dynamic balance among female athletes with injured ACLs. Methods: This semi-experimental study involved a 2-group pretest-post-test design. Subjects were 36 (19 control and 17 experimental) female athletes with injured ACLs, that were chosen with the available sampling method. The experimental group did the preoperative training in the eight weeks and the control group did not participate in any training program during this period. Static and dynamic balance and lower body muscle strength were measured. The paired sample T-test was used to compare pre and post-test results and the independent sample T-test achieved comparisons between the two groups. Results: The results indicated that static (with eyes opened and closed) dynamic balance and muscle strength were improved significantly (p < 0.05) in the exercise group, but no significant change (p > 0.05) was found in the control group. Also, significant differences were found in improvement changes results between the two groups (p < 0.05). Conclusion: Results of the study confirmed that preoperative training can have a beneficial effect on improving static and dynamic balance among female athletes with injured ACLs.

Self-Powered Neutron Detectors (SPNDs) are in use as in-core Neutron Fluence Detectors in Nuclear Power Plants. Though the detectors are simple in design and have a common structure for the same application, there are various types of emitters (neutron-sensitive electrodes) that make SPNDs categorized into different types. There are various SPNDs in application at different types of nuclear power reactors. SPND emitters are chosen based on their characteristics/behavior in the neutron & gamma flux environment in the reactor core. A detailed Literature Review was done on five different types of SPNDs. This paper focuses on the physics behind the operation, characteristics, and review of Vanadium, Rhodium, Inconel, and Cobalt & Silver emitter-based SPNDs. A comparison study was done by a literature review on these detectors.

The torsional deformation behavior of an elastic bar with a circular cross-section was investigated by applying invariant dyadic analysis, where the small finite displacement functions advocated by Saint-Venant (1855) were fully employed. It was found that the previously overlooked circumferential shear force field generated by pure torsion on the side walls of a bar produces an unusual torque term induced by the skew-symmetric part of the deformation tensor and exhibits quadratic length dependence along the z-axis of the bar. The adaptation of this torque term for a helical conformation of α-peptides creates moments acting on the circular cross-sections and is directed along the surface normal of circular cross-sections, which coincides with the tangent vector of the helix. The projection of this torque along the z-axis of the helix varies quadratically with the azimuthal angle. The radial component of the unusual torque, which also lies along the principal normal vector of the helix, starts to perform a precession motion by tracking a spiral orbit around the z-axis, whereas its apex angle decreases asymptotically with the azimuthal angle and finally reaches a finite value depending on the height of the helix along the z-axis. The ordinary torque terms, which are also deduced from the self- and anti-self-conjugate parts of the deformation tensor, have magnitudes half that of the full torque term reported in the literature. The present results were applied to the helical conformation of α-peptides designated by {3.611} to show that the mechanical stability of strained open-ended helical conformations can be successfully achieved by spontaneous readjustments of the surface and bulk Helmholtz free energies under isothermal isochoric conditions. It has been demonstrated that the main contribution to the mechanical stability of α-peptide 3.611 cannot come alone from the electrostatic dipole-dipole interaction potential of the anti-align excess dipole pairs but also from the surface Helmholtz free energy, which is characterized by a binding free energy of -15.5 eV/molecule (-32.56 Kcal/mole) for an alpha-peptide composed of 11 amino acid residues with a critical arc length of approximately 10 nm, assuming that the shear modulus is G = 1GPa and the surface Helmholtz specific free energy density is fs = 800 erg/cm2. This result was in excellent agreement with the experimental observations of the AH-1 conformation of (Glu)n Cys at pH 8. The present theory indicates that only two excess permanent anti-align dipole pairs for one α-Helical peptide molecule is requirement to stabilize the whole secondary structure of the protein that is exposed to heavy torsional deformation during the folding processes which amounts to 7.75 eV/molecule stored electrostatic energy compared to the interfacial Helmholtz free energy of -23.25 eV/molecule, which is exposed to hydrophobic environments.

With the integration of mobile systems into daily life, social media applications used especially on Android and iOS platforms contain a significant amount of sensitive information. Social media applications on mobile systems have huge personal and sensitive content. Therefore, it is important to design effective techniques for forensic analysis of social media applications and to detect personal data. In this research, three different paid mobile forensic software and 4 different brands and models of smartphones with different operating systems were used and analyzed. The study shows that private messages, e-mails, time information, shared data, location and time information, and other personal data can be obtained by a forensic expert who performs an examination, and it is seen that one software can access the deleted data, but another software cannot access it. In proportion to the technology used in today’s world, mobile forensics incidents are increasing day by day, and a competitive environment is created among the software used to illuminate these incidents. With this competition, software companies dealing with forensic informatics are trying to obtain different data to illuminate forensic events that may occur due to the active use of social media accounts with the developing technology, and software that does not meet the needs in the face of this situation remains in the background. The criminal elements in the investigation areas of mobile forensics differ daily, and the scope of crimes in the virtual environment is expanding with the developing technology. Therefore, mobile forensic analysis applications should be successful in social media applications other than standard data.

Introduction: This study aims at evaluating selected linear anthropometrics of three Nigerian ethnic groups to provide baseline data for the creation of 3D Negroid anatomic models.Methods: The research design was a cross-sectional design. The sampling technique was multistage proportionate random sampling. The places of study were Imo, Oyo, and Kano States of Nigeria. The study lasted for one (1) year. Random selection of 1500 adult males from three major tribes (500 Igbo, 500 Yoruba, and 500 Hausa between the ages of 18 and 40 years). Tukey’s Post Hoc test of multiple comparisons was carried out to determine the specific ethnic groups that differ in specific anthropometric parameters.Results: The differences in standing height, arm length, and thigh length across the Hausa, Igbo, and Yoruba ethnic groups are statistically significant (p < 0.05). Conclusion: The study concluded that the Igbo and Yoruba groups had higher standing heights compared to the Hausa group. Arm length was longer in the Igbo and Yoruba groups compared to the Hausa group. However, thigh length was greater in the Hausa group compared to both the Igbo and Yoruba groups, while the Hausa group had longer thigh lengths than both the Igbo and Yoruba groups. The Igbo group displayed the largest arm span, whereas the Hausa group had the widest shoulder breadth. However, the Hausa group had a lower bi-iliac breadth in comparison to the other two ethnic groups.

Congenital Dyserythropoietic Anaemia (CDA) is a rare genetic disorder that affects the maturation of red blood cells. The disorder is classified into different types, with a prevalence ranging from 1 in 100,000 to 1 in 1,000,000 individuals. Treatment strategies are designed with the primary focus on symptom management, the prevention and treatment of complications, and the underlying disease pathophysiology. The advent of bone marrow transplantation, gene therapy, and targeted therapies has considerably expanded the scope for therapeutic intervention in CDAs. Supportive care, including blood transfusions and iron chelation therapy, has demonstrated efficacy in managing iron overload and improving overall survival rates. The potential of gene therapy, targeted therapies, and hematopoietic growth factors in the treatment of CDA is currently being investigated. Further research and clinical trials are required to develop more effective and personalized therapeutic interventions.

This review underscores the transformative impact of Computer-Aided Engineering (CAE) on modern engineering, emphasizing its role in advancing sustainable and efficient technological solutions. The CAE industry is further analyzed, focusing on market trends and future directions. The CAE market is projected to grow significantly in the next five years in industries like automotive, aerospace, and energy, especially with the rapid advancements in High-Performance Computing (HPC), Artificial Intelligence (AI), Internet of Things (IoT), and Digital Twin technologies that enhance real-time optimization and predictive capabilities, thus fostering innovation in sustainable product design and performance. Lastly, this review presents KYAMOS Software and its state-of-the-art CAE solutions for tackling high-demand engineering problems, mainly concerning green technologies.

Severe fever with thrombocytopenia syndrome (SFTS) is caused by a virus that induces acute infections. Despite its expansion beyond China, where it first appeared in 2009, no specific drug exists to treat the disease. The discovery that antibodies targeting the SFTS virus surface glycoprotein (Glycoprotein N, GN) significantly enhance patient survival has driven the development of antibodies, particularly nanobodies. Nanobodies targeting the GN protein are a promising therapeutic approach. This paper presents a systematic study of the purification process for a recombinant nanobody-Fc fusion designed to treat the SFTS virus HB29. The study evaluated a sequential purification approach using affinity (AFF), ion exchange (IEC), and hydrophobic interaction chromatography (HIC) techniques to gradually remove impurities. The results demonstrate that this approach achieves an overall yield of more than 50% and a total purity of 95%. Efficient nanobody purification methods, as outlined here, can pave the way for novel treatments to manage this disease.

Polymer Electrolyte Membrane Fuel Cells (PEMFCs) operating in Dead-Ended Anode (DEA) mode present a promising alternative to traditional flow-through systems by simplifying design and reducing costs. However, their efficiency and durability are challenged by transient phenomena such as water accumulation, nitrogen buildup, and carbon corrosion throughout operation. This review investigates the dynamic behavior of DEA PEMFCs under dynamic operating states, aiming to improve their efficiency. By analyzing purge cycle optimization and transient response characteristics, we identify strategies to mitigate hydrogen loss, maintain voltage stability, and extend stack lifetime. The key findings indicate that precise purge scheduling and effective water management are critical for optimizing performance, with dynamic models providing insights into time-dependent processes. This study underscores the potential of DEA PEMFCs for high-efficiency applications provided transient effects are effectively managed.

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.