bluuebunny/crossref_metadata_2025 huggingface dataset:
DNA barcoding of seven cyprinid fish species in the Iraqi Inland waters using mitochondrial COI gene sequence
Authors: Ziyadi Mustafa Sami Faddagh
Published: June 2024

إن عائلة Cyprinidae هي أكبر عائلة سمكية في المياه الداخلية العراقية. تاريخيا وصفت أنواع الأسماك الشبوطيات بواسطة القياسات المظهرية التقليدية. تعتبر أنواع أسماك عائلة Cyprinidae في العراق مهمة من النواحي البيئية والاقتصادية. في حين أن التشابه المورفولوجي بين أنواع أسماك الشبوطيات جعل تحديد الأنواع ليس أمرا سهلا. اختيرت شفرة الحامض النووي لتأكيد التصنيف وايضاح التنوع الجيني بين الأنواع المتشابهة العائدة للجنس نفسه. جمعت سبعة أنواع من أسماك الشبوطيات Luciobarbus barbulus، L. xanthopterus، L. kersin، L. esocinus، Arabibarbus grypus، Cyprinus carpio، و Acanthobrama marmid من نهر شط العرب والأهوار وخزان سد الموصل. تم تضخيم جين الميتوكوندريا Oxidase C Cytochrome للجين المستهدف وتحليل التتابع النيوكليوتيدي. اختيرت بادئات مخصصة لهذا الغرض. أستخدم برنامج Chromas لمعالجة نتائج التتابع النيوكليوتيدي. وأظهرت النتيجة أن التتابع النيوكليوتيدي تراوح بين 600-657 زوج قاعدي. في حين كشفت الشجرة الوراثية neighbor joining tree المتحصلة من موقع Clustal Omega عن أنواع Luciobarbus الأربعة التي تتجمع في فرعين مركزيين، بينما تباعدت الأنواع الثلاثة الأخرى. وتمت مقارنة توزيع النيوكليوتيدات إحصائيا لأنواع الأسماك المدروسة باستخدام برنامج CLC bio . أثبتت نتائج ترميز الحامض النووي باستخدام تسلسل الجينات COI وجود أربعة أنواع من أسماك Luciobarbus المستقلة. أثبتت الدراسة إن أستخدام جين COI كشفرة وراثية للحامض النووي ناجحا ودقيقا في تحديد الأنواع. أودعت التتابعات في البنك الجيني تحت رموز OM669701 و OM669699 و OM669702 و  OM669705 و OM669703 وOM669700 و OM669704. إن هذه الدراسة هي نقطة الانطلاق لمشروع ترميز الحامض النووي لجميع الشفرات الوراثية للأنواع السمكية في المياه الداخلية العراقية. بالإضافة إلى ذلك، ستكون نتائج الدراسة  مفيدةً جداً في برنامج الحفاظ على الأنواع المحلية في المياه الداخلية العراقية.
An Ensemble Model for Predicting Cardiovascular Disease utilizing Nature Inspired Optimization
Authors: Majumder Annwesha Banerjee , Gupta Somsubhra , Majumder Sourav , Singh Dharmpal
Published: June 2024

قدم هذا البحث نموذجًا تنبؤيًا مبتكرًا لأمراض القلب، تم تحسينه من خلال تطبيق منهجية تحسين أفضل التقنيات المتاحة. من المعترف به عالميًا أن انتشار أمراض القلب والأوعية الدموية، خاصة في الدول التي تواجه تحديات اقتصادية، هو مساهم كبير في معدلات الوفيات العالمية.يتم التأكيد على ضرورة التنبؤ الدقيق بالنتائج في الوقت المناسب من خلال ضرورة التخفيف من العواقب الوخيمة المحتملة المرتبطة بهذا التحدي الصحي المحدد. تتضمن المنهجية اختيار الميزات من خلال المعلومات المتبادلة، يليها التخلص من العناصر الخارجية باستخدام نهج Inter Quartile Range أثناء تنقية البيانات.لمعالجة التحيز المحتمل من اختلافات المقياس المتغير، يتم تنفيذ توحيد الميزات باستخدام طريقة Standard Scaler. يتم استخدام تقنية تعزيز التدرج لتطوير النماذج، المعروفة بقدرتها على إدارة البيانات المفقودة وإنشاء تنبؤات دقيقة. لمزيد من تعزيز الأداء، تم تقديم خوارزمية BAT، مع الاستفادة من التحسين المستوحى من الطبيعة. وقد أدى تطبيق أسلوب أفضل التقنيات المتاحة في هذا النموذج بالذات إلى تحسن ملحوظ في الأداء، مما أدى إلى معدل دقة قدره 84.94%. وكانت درجات الدقة والنوعية والحساسية للنموذج 76.47%، 81.88%، و89.65%، على التوالي. وتشير هذه المقاييس مجتمعة إلى أداء متوازن.
Personalized evaluation of the passive myocardium in ischemic cardiomyopathy via computational modeling using Bayesian optimization
Authors: Torbati Saeed , Daneshmehr Alireza , Pouraliakbar Hamidreza , Asgharian Masoud , Tafti Seyed Hossein Ahmadi , Shum-Tim Dominique , Heidari Alireza
Published: June 2024

Biomechanics-based patient-specific modeling is a promising approach that has proved invaluable for its clinical potential to assess the adversities caused by ischemic heart disease (IHD). In the present study, we propose a framework to find the passive material properties of the myocardium and the unloaded shape of cardiac ventricles simultaneously in patients diagnosed with ischemic cardiomyopathy (ICM). This was achieved by minimizing the difference between the simulated and target end-diastolic pressure-volume relationships (EDPVRs) using black-box Bayesian optimization, based on the finite element analysis (FEA). End-diastolic (ED) biventricular geometry and the location of the ischemia were determined from cardiac magnetic resonance (CMR) imaging. We employed our pipeline to model the cardiac ventricles of three patients aged between 57 and 66 years, with and without the inclusion of valves. An excellent agreement between the simulated and target EDPVRs has been reached. Our results revealed that the incorporation of valvular springs typically leads to lower hyperelastic parameters for both healthy and ischemic myocardium, as well as a higher fiber Green strain in the viable regions compared to models without valvular stiffness. Furthermore, the addition of valve-related effects did not result in significant changes in myofiber stress after optimization. We concluded that more accurate results could be obtained when cardiac valves were considered in modeling ventricles. The present novel and practical methodology paves the way for developing digital twins of ischemic cardiac ventricles, providing a non-invasive assessment for designing optimal personalized therapies in precision medicine.
State-behaviour feedbacks between boldness and food intake shape escape responses in fish
Authors: Planas-Sitjà Isaac , Ioannou Christos
Published: June 2024

Consistent differences in intrinsic state, amplified through state-dependent behaviour, could explain the ubiquity of animal personality variation. Boldness is often positively associated with a high metabolism and food intake. Even though a high food consumption is known to compromise oxygen-demanding activities, the influence of food intake on the anti-predator escape responses has rarely been considered. By conducting experiments with three-spined sticklebacks (Gasterosteus aculeatus) in a setup with real-time tracking and a decoy heron predator, we show that bolder fish benefited from a higher food intake than shy fish, and reacted faster to a predator attack when food intake was the same before being attacked. However, a higher food intake slowed down the escape reaction of fish. These results shine light on how the fitness of shy and bold strategies could be balanced in the wild: the faster reaction of bold fish is impaired by their higher food consumption.
Maternal Stress: Not Just a Mental Illness, but Also a Health Hazard
Authors: Dušová Bohdana , Chromá Jana , Greplová Kateřina , Poláková Hana
Published: June 2024

Objective
Postpartum stress is a common phenomenon experienced by many mothers. It can manifest itself in various symptoms such as fatigue, irritability, insomnia, anxiety, depression and fear. In severe cases, it can lead to the development of postnatal psychosis. The objective of this study is to identify and assess the subjective perception of postpartum maternal stress in relation to selected socio-demographic characteristics and to determine the association between subjectively perceived maternal postpartum stress and midwifery care.
Methodology:
The study population consisted of 200 respondents who had given birth to one healthy child and their postpartum period was in the range of six months. The study was conducted in a pediatrician (referred to as a ‘general practitioner for children and adolescents’ in the Czech Republic) outpatient offices, May 2022 to January 2023. The survey utilized the standardized Maternal Postpartum Stress Scale (MPSS) questionnaire, which was supplemented with socio-demographic data and information on whether midwifery care had been provided.
Results
The study participants had an overall mean score of postpartum stress 32.7. The stress scores for each subscale were as follows: 15 for personal needs and fatigue of the mother, 9.9 for infant nurturing, and 7.8 for body changes and sexuality. The study found a statistically significant relationship between the number of births and body changes and sexuality (p = 0.0097). Statistical significance level 5%. However, no statistically significant effects of sociodemographic parameters or midwifery care were found in the study population.
Conclusion
In the study population, overall postpartum stress was mild to moderate. Sociodemographic parameters and midwife care did not have a statistically significant effect on subjective perception of maternal postpartum stress. Research shows that mothers who have had more than one birth are more prone to experiencing stress in terms of body changes and sexuality after childbirth. It is therefore important to give these mothers extra attention and offer them support and help to cope with these challenging changes
Are laterality effects present in novel object responses of calves?
Authors: Zhang Chenyu , Kindell Molly , Meagher Rebecca
Published: June 2024

Many animals exhibit preferential viewing of fear-inducing stimuli with their left eyes, reflecting cerebral lateralisation in emotion processing. In novel object tests, often used to assess fear, spatial positioning of objects relative to the animal can vary. This study aimed to investigate visual lateralisation in fear processing in novel object tests, evaluate its effectiveness as an indicator of fear, and examine how initial monocular presentation of fear-inducing stimuli impacts fear responses and their reliability. Thirty-six calves underwent a novel object test at six weeks of age and a second at seven weeks of age using a different object, with behavioural responses towards the novel objects recorded. There was no correlation in latency to first contact with novel objects between tests. Proportion of time viewing novel objects with the left eye did not significantly differ from the right eye, nor did it correlate with latency to first contact with novel objects. The probability of contact with novel objects and latency to first contact with novel objects did not differ based on initial eye contact with novel objects. Overall, fear responses in calves during repeated novel object tests were inconsistent, but this inconsistency could not be explained by novel objects being randomly presented to calves’ different visual fields, which suggests potential absence of cerebral lateralisation in fear processing. Thus, laterality of visual response may not reliably indicate fear in calves at this age.
Novel Biosynthesis and Evaluation Cytotoxic Effect of Tellurium Nano-Particle on Breast Cancer Using Co-Culture of Spirulina and Lentinula Edodes
Authors: Reza Mahdieh Ameri Shah , Rasouli Alireza , Movahhed Tahereh Komeili
Published: June 2024

Introduction
Bio-based nanoparticle production has been an alternative method for preparing nanoparticles for pharmaceutical and biomedical applications. This study aims to evaluate the production of tellurium nanoparticles (TeNPs) using the co-culture of algae and fungi and finally to investigate the cytotoxicity of nanoparticles on cancer cell lines MDA-MB-468 and healthy cell line HFF.
Methods
The production of TeNPs was done using the co-culture of algae and fungi. Using the Tyndall effect, FTIR, and FESEM, nanoparticles were evaluated. Finally, using the MTT assay, the toxicity of the nanoparticles produced on MDA-MB-468 and HFF was investigated.
Results
Data showed that it is possible to produce TeNPs using the co-cultivation of algae and fungi. Also, the produced nanoparticles had a size between 20 and 30 nm. Examining the cytotoxicity effects of the created nanoparticle showed that this nanoparticle has an inhibitory effect on cancer cells, while it does not affect healthy cells.
Conclusion
In this study, biosynthesis of TeNPs using co-culture was performed for the first time. The data showed that it is possible to use the co-culture of algae and fungi to produce TeNPs that can inhibit the growth of human breast cancer cells.
Prevalence, radio-clinical patterns and factors associated with pulmonary tuberculosis among children with severe acute malnutrition: A crossectional study in Uganda
Authors: Asiimwe Oliver , Ndezi Grace , Nduwimana Martin , Namukasa Faith , Mutisya Charles Mwendwa , Abdirahman Salad Hassan , Abdifatah Ali Muhuyadin haji , Abdirizak Omar Mohamed , Amatarahman Said Ibrahim , Muhumuza Joshua
Published: June 2024

Background
Although treatable, pulmonary tuberculosis (PTB) has a significant morbidity and mortality. Children with malnutrition are immune compromised, which increases the morbidity and mortality of PTB. This study was done to determine the prevalence and factors associated with Tuberculosis among children aged 6 to 59 months admitted with severe acute malnutrition (SAM) at Jinja Regional Referral Hospital (JRRH).
Methods
This was a cross–sectional study among children aged 6-59 months with SAM at JRRH. History was taken and physical examination done. Gene Xpert was done for all participants, Lipoarabinomannan Antigen Assay for TB (TB-LAM) done for HIV positive children with CD4 below 200 and Chest X-ray for children who presented with cough and difficulty in breathing. Both the investigations and clinical findings were used to make a diagnosis of PTB. Using binary logistic regression in SPSS, the factors associated with Tuberculosis were determined. P value <0.05 was considered significant.
Results
Of the 137 children enrolled with SAM, majority were in the age groups of 6-11 and 12-23 months. Non-edematous malnutrition was the commonest 73(53.3%). Thirty-two children were diagnosed with TB with a prevalence of 23.4%. Of the 32 diagnosed with Tuberculosis, only 5 had a positive gene expert test, 2 had a positive urine TB LAM and the remaining 25 were diagnosed using the clinical criteria. The commonest symptoms among children diagnosed with TB were cough seen in 25/32 (78.1%) and fever in 24/32 (75%). The most common radiological findings comprised adenopathy (64.3%) and consolidations (49.7%). Coming from rural areas (aOR=1.205, 95%CI=1.067-1.360, P=0.003), being HIV positive (aOR=1.619, CI=1.114-2.354, P=0.012), thrombocytopenia (aOR=1.407, CI=1.069-1.853, P=0.015) and thrombocytosis (aOR=1.202, CI=1.047-1.379, P=0.009) were independently associated with presence of Tuberculosis.
Conclusion
The prevalence of tuberculosis in Severe Acute Malnutrition was high. Children with SAM should be routinely screened for TB. When resources are constrained, the iinvestigations for TB could be focused on those coming from rural areas, the HIV positive, those with thrombocytopenia and those with thrombocytosis.
the Interaction Proteome of Ribosomal 40S Components PNO1 and NOB1 Using TurboID Proximity Labeling Technology
Authors: Xu Xingyuan , Zheng Jiefu , Chen Wenli , Liao Jian-You , Zhu Shuang
Published: June 2024

Background
The ribosome assembly factors PNO1 and NOB1 play crucial roles in the maturation of the 40S ribosomal small subunit. TurboID is an efficient biotin ligase that can biotinylate proteins in proximity to the target protein and is widely used to study complex biological processes within cells.Here, we utilized this technology to investigate the complex interaction network of PNO1 and NOB1 within cells.
Results
Through immunofluorescence experiments, we found that PNO1 and NOB1 have different localizations within cells. By identifying the proximal proteins biotinylated by PNO1-TurboID and NOB1-TurboID, we discovered 871 proteins interacting with PNO1 and 1044 proteins interacting with NOB1, with 663 proteins overlapping. These results suggest that PNO1 and NOB1 are extensively involved in various biological processes within the cell. Furthermore, we found that PNO1 and NOB1 interact with translation-related proteins EIF4B and EIF4G2, indicating that they may participate in the mRNA translation process.
Conclusion
The interaction proteome results of PNO1 and NOB1 suggest that ribosome assembly factors are not only involved in ribosome biogenesis but also couple with multiple biological processes within the cell, such as mRNA translation. This provides a foundation for understanding the complex biological processes within the cell.
solar: A solar thermal power plant simulator for blackboxoptimization benchmarking
Authors: Andres-Thio Nicolau , Audet Charles , Diago Miguel , Gheribi Aimen , Digabel Sébastien Le , Lebeuf Xavier , Garneau Mathieu Lemyre , Tribes Christophe
Published: June 2024

This work introduces solar, a collection of ten optimization problem instances for benchmarking blackbox optimization solvers.The instances present different design aspects of a concentrated solar power plant simulated by blackbox numerical models.The type of variables (discrete or continuous), dimensionality, and number and types of constraints (including hidden constraints) differ across instances.Some are deterministic, others are stochastic with possibilities to execute several replications to control stochasticity. Most instances offer variable fidelity surrogates, two are biobjective and one is unconstrained.The solar plant model takes into account various subsystems: a heliostats field, a central cavity receiver (the receiver), a molten salt thermal energy storage, a steam generator and an idealized power block. Several numerical methods are implemented throughout the solar code and most of the executions are time-consuming. Great care was applied to guarantee reproducibility across platforms.The solar tool encompasses most of the characteristics that can be found in industrial and real-life blackbox optimization problems, all in an open-source and stand-alone code.
AMS subject classifications: 90-04, 90-10, 90C56.
Enhancing Genetic Prompt Search Using Language Model Probability Exploitation
Authors: Song Zichen , Huang Sitan
Published: June 2024

In the application of large pre-trained language models (PLMs), prompt-tuning techniques have demonstrated notable effectiveness in low-resource settings, such as learning from a small number of samples. Concurrently, derivative-free optimization (DFO) techniques enable prompt tuning on black-box PLMs, enhancing adaptation to specific downstream tasks. However, current DFO-based prompt-tuning methods typically rely on certain prerequisites, such as requiring additional APIs from PLMs to inject continuous prompts as hidden states or embedding vectors, or necessitating well-designed discrete manual prompts as initial states for the algorithm. To overcome these limitations and make DFO-based prompt tuning more universally applicable, we propose a novel genetic algorithm (GA). This algorithm starts with a blank prompt and drives the evolution of the prompt by leveraging prediction probabilities guided by a small-sample training set, thus selecting appropriate tokens. Experiments across multiple diverse benchmark datasets have shown that this unconditional approach significantly outperforms existing prerequisite-dependent DFO methods, such as black-box tuning, genetic prompt search, and gradient-free imperative prompt search.
Estimation of Hoek-Brown Strength Parameters from Time-Dependent Geotechnical Classification as Coal Roof Index (CRI) using Critical Plastic Strain Technique
Authors: Saran Sonu , Gadepaka Prudhvi Raju , Jaiswal Ashok
Published: June 2024

The roof fall or side fall is the most common type of rock failure observed particularly in underground coal mines. The numerical Method is one of the most advanced tools for the prediction of roof rock behaviour. The appropriate failure criteria play an important role in Numerical modelling. In this study, author has adopted Hoek-brown failure criteria for coal galleries using in numerical modelling. Numerical approaches take into account data from various 35 stable and failed cases of Indian coal mines. The Coal Roof Index (CRI) classification is a prime input parameter. The author first derived the range of ‘s’ parameter from the short-term stable cases (stand-up time < 90 days) and then the range of ‘m’ parameter value was refined by long term stable cases (stand-up time > 365 days). The final function of the strength parameter has been précised by consideration of all 35 cases. It has taken each of four different functions from the range of ‘m’, ‘s’, and ‘a’ parameter. Sixty-four function combinations of strength parameters have been simulated and the plastic strain value was obtained. These sixty-four combinations have been carried out based on the feedback mechanism after every combination to optimize the result and change the condition. The best-fitted curve has been established through the back analysis. It has been proposing an exponential relationship with CRI classification to estimate the Hoek-Brown strength parameters m, s, and a. The rock load height (RLH) was also observed through numerical modelling and a relationship was proposed between CRI and rock load height. The correlation coefficient for RLH vs CRI is quite impressive with R2 value of 0.84. The rock load is measured by multiplication of roof rock density and RLH. Thus, an appropriate support resistance can be calculated. The validation has been done by considering 5 Indian coal mine cases among which 2 are stable cases and 3 are unstable cases.
A Cross-sectional Study of the Prevalence, and Risk Factors Associated With Malaria Transmission Among Sickle Cell Anaemia Patients in Urban Communities of Taraba, Northeastern Nigeria.
Authors: Elkanah Deborah Sambo , Cyril S.O Otoikhian , Bosah Bernadette Obiageli , Elkanah Obadiah Sambo , Odozie Esther Uche , Oyegoke Paul Ifeleke
Published: June 2024

Introduction:
Sickle cell disease (SCD) poses significant health challenges, particularly in regions like sub-Saharan Africa where its prevalence is high. Malaria, a prevalent infectious disease in this region, exacerbates the complications associated with SCD. Understanding the epidemiology and risk factors of malaria among SCD patients is crucial for effective management and control strategies.
Aim
This cross-sectional study aimed to assess the prevalence and risk factors associated with malaria transmission among sickle cell anaemia patients in urban communities of Taraba State, Northeastern Nigeria.
Methods
The study involved the screening of sickle cell anaemia patients in selected health facilities in Taraba State from December 2022 to December 2023. Data on demographic characteristics, risk factors, and malaria status were collected using structured questionnaires and blood samples. Parasitological examination was conducted to determine malaria prevalence, and statistical analysis was performed using SPSS version 25.0.
Results
The study revealed a malaria prevalence of 12.9% among sickle cell anaemia patients, with higher rates observed in Takum compared to other communities. Malaria infection was more common among males, children aged 1–10 years, non-educated individuals, and those engaged in specific occupations like farming and trading. Risk factors such as stagnant water around residences, presence of bushes, lack of insecticidal nets, and use of indigenous herbs were associated with higher malaria transmission rates.
Conclusion
The findings underscore the importance of targeted interventions to mitigate malaria burden among sickle cell anaemia patients, including educational campaigns, access to preventive measures such as insecticidal nets, and improvement in environmental hygiene practices. Implementing these strategies is crucial for reducing malaria-related morbidity and mortality in affected communities.
The Effect of Different Parameters on the Mechanical Properties of Two- Stage Concrete under Triaxial Compression
Authors: Moaf Farzam Omidi , Rajabi Ali M. , Abdelgader Hakim S. , Kurpińska Marzena , Murali Gunasekaran , Miśkiewicz Mikołaj
Published: June 2024

This study conducts a comprehensive comparative analysis of the triaxial compressive strength and associated mechanical properties between Two-Stage Concrete (TSC) and Conventional Concrete (CC). Through rigorous using triaxial test methodologies, our research quantitatively delineates TSC's mechanical superiority, promoting its broader application in diverse construction settings. Key findings reveal that TSC, particularly types with finer aggregates, demonstrates superior shear strength, achieving up to 52.4 MPa under dry conditions compared to CC's 48.38 MPa. Furthermore, TSC exhibits remarkable stress tolerance, withstanding up to 82.04 MPa, significantly outperforming CC, which manages only 69.61 MPa under similar conditions. TSC also maintains higher modulus of elasticity and internal friction angles, indicating better deformation behavior and shear resistance. Additionally, TSC shows greater resilience to moisture, suggesting its potential for use in variable moisture environments. These properties highlight TSC’s robustness for high-load applications and its suitability for infrastructure prone to environmental fluctuations. By aligning with existing literature on the benefits of finer aggregate sizes in enhancing concrete's mechanical resistance, this research underscores the strategic advantage of integrating TSC in modern construction practices, emphasizing its enhanced strength, durability, and environmental adaptability.
Standardisation of high throughput microdilution antifungal susceptibility testing for Candida albicans and Cryptococcus neoformans
Authors: Floyd Holly , Kavanagh Angela , Lowe Gabrielle , Amado Maite , Frazer James , Blaskovich Mark , Elliott Alysha , Zuegg Johannes
Published: June 2024

The Clinical and Laboratory Standards Institute (CLSI) M27 guidelines are the recommended and most commonly used protocols for broth microdilution antifungal susceptibility testing of yeasts. However, these guidelines are limited to the use of 96-well assay plates, limiting assay capacity. With the increased risk of fungal resistance emerging in the community, it is important to have alternative protocols available, that offer higher throughput and can screen more than eight to ten potential antifungal compounds per plate. This study presents an optimised broth microdilution minimum inhibitory concentration (MIC) method for testing the susceptibility of yeasts in an efficient high throughput screening setup, with minimal growth variability and maximum reproducibility. We extend the M27 guidelines and optimise the conditions for 384-well plates. Validation of the assay was performed with ten clinically used antifungals (fluconazole, amphotericin B, 5-fluorocytosine, posaconazole, voriconazole, ketoconazole, itraconazole, caspofungin diacetate, anidulafungin and micafungin) against Candida albicans and Cryptococcus neoformans.
Innovative Optimization of Microgrid Configuration for Sustainable, Reliable and Economical Energy Using Homer Software
Authors: Usman Habib Muhammad , Sharma Nirma Kumari , Joshi Deepak Kumar , Kaushik Aditya , Saminu Sani
Published: June 2024

Mewar University grapples with exorbitant energy costs of approximately $1kWh, unreliable power supply, and a significant reliance on diesel engines and the grid. This dependency not only escalates energy expenses but also contributes to greenhouse gas emissions, exacerbating climate change, global warming, and environmental pollution. To mitigate these issues, this study proposes an optimized microgrid design integrating PV solar panels, wind turbines, diesel generators, and grid connectivity, utilizing HOMER software for optimization. The software identified multiple configurations, with the optimal design meeting an energy demand of 20,077,351 kWh/year through a combination of solar PV (288,947,670 kWh annually), wind turbines (36,825,618 kWh annually), and minimal reliance on diesel generators. The system would purchase 3,827,194 kWh annually from the grid during low renewable output periods and sell 167,761,193 kWh annually during surplus production. This design achieves a levelized cost of energy (LCOE) of $0.00146/kWh and a return on investment (ROI) of 10.1%, with total component expenditure of $16,207,384, covering capital investments, operations and maintenance (O&M), and fuel costs. Solar photovoltaics contributes 83% of the annual production, with the remaining 17% from the grid and wind turbines, establishing the system as cost-effective and environmentally friendly due to its heavy reliance on renewable energy sources (RES). Comprehensive feasibility, technical, economic and sensitivity analyses confirm the viability of implementing this proposed system. Ultimately, the proposed microgrid design promises a sustainable, economical, and reliable energy solution for the University.
Analysis of beat frequencies of transverse mode degeneracy in diode-pumped Nd:YVO4 laser
Authors: Wang Jing , Lin Da , Lin Zhanglang , Li Bingxuan , Liao Wenbin , Zhang Ge
Published: June 2024

This paper provides a detailed analysis of transverse mode degeneracy process of end-pumped Nd:YVO4 laser. By observing the intersection of the beat frequency signals in the concave-plano cavity, the exact cavity length position of the transverse mode degeneracy can be clearly identified, which is also where transverse-mode locking occurs. Investigating the positions of the degeneracy of 1/3 and 2/7 reveals that transverse-mode locking occurs within the micrometer range. Our results give a simple and intuitive description of frequency degeneracy in a common solid-state laser.
Effects of the implementation of matrix support in the operation of the community mental health network in a medium-sized Brazilian municipality: an ex-ante and ex-post evaluation
Authors: Treichel Carlos Alberto dos Santos , Saidel Maria Giovana Borges , Lourencetti Ana Laura Salomé , Pinheiro Lívia Penteado , Amorim Sulamita Gonzaga Silva , Campos Rosana Teresa Onocko
Published: June 2024

Background
The implementation of shared care strategies has been a global response to the challenge of the mental health care gap at primary levels of care and the lack of integration of health networks. In the Brazilian context, this perspective takes shape through Matrix Support, an interdisciplinary collaboration proposal that aims to improve mental health care, connecting specialized teams with Primary Care professionals. The objective of this study was to evaluate the impact of implementing matrix support in a medium-sized Brazilian municipality on the performance of the community mental health network. To this end, three main components were analyzed: (1) the characterization of the participants' profile, (2) the identification of therapeutic offers, and (3) the identification of clinical care received by participants in each of the services studied.
Methods
This is a cross-sectional study based on documents, ex-ante and ex-post, carried out through the analysis of medical records of participants linked to the three community mental health services in the city of Itatiba-SP. The study had two points of measurement (T0 and T1), with T0 carried out between May and July 2019 and T1 between November and December 2021. Descriptive statistical analysis was employed to estimate absolute and relative frequencies for each variable under investigation.
Results
The findings indicated a significant decrease in the number of patients whose diagnosis was unknown, suggesting an important reconfiguration of referral patterns within the health network. While there was a significant decrease in admissions due to spontaneous demand, there was a significant increase in referrals made through primary care. Furthermore, there was an increase in the number of patients receiving home care and patients receiving clinical healthcare, with a greater proportion of individuals having physical health issues included in their care plans.
Conclusions
The implementation of Matrix Support in the studied network may have contributed to the reorganization of the studied health network, with a greater focus on Primary Care and more comprehensive care for individuals requiring specialized mental health services.
Five new species of Huberia (Melastomataceae) from the eastern Brazilian mountains
Authors: Bochorny Thuane , Gonella Paulo Minatel , Gonçalves Lucas Nogueira , Völtz Rafael Rosenstock , Goldenberg Renato
Published: June 2024

Huberia is a genus with 37 species mostly occurring in high elevation grasslands in eastern Brazil, except for four species in the Andes of Ecuador and Peru. It belongs to Tribe Pyramieae (Melastomataceae) and can be recognized by shrubs to trees (rarely climbers), tetra- to hexamerous flowers with a campanulate or apically constricted hypanthium, white to light-pink or purple petals, stamens bearing dorsal connective appendages, as well as an inferior or partially inferior ovary and capsular fruits. We describe here five new species in this genus: H. campostriniae, H. ciliata, H. mayarae, H. revoluta, and H. rubricalyx from eastern Brazilian rocky outcrops, and also provide detailed photographs, taxonomic comments, distribution map, and conservation status assessments.
Staged Feature Mapping Optimization Learning for Visible-Infrared Person Re-identification
Authors: Zhuang Yuchen , Zhuang Jianjun , Wang Nan , Hao Yong
Published: June 2024

Visible-infrared person re-identification (VI-ReID) is a significant and intricate endeavor in specific person retrieval, requiring the fusion of distinct features observed in visible and infrared modalities. To address the limitations of current methods, which predominantly use simple Convolutional Neural Network (CNN) structures as the backbone, leading to spatial information loss during training and complicating cross-modal feature alignment, we propose a novel approach using Swin-TransformerV2 as the backbone and staged feature mapping optimization learning for VI-ReID. Firstly, we introduce a new Ratio Center Difference Loss (RCD) to address the scattering of positive samples from different modalities in feature space, and we devise a Cross-modal Intra-class Denoising Loss (CID) which dynamically calculates the average distance between positive and negative samples to strengthen the differences between classes and adjust the feature space in different stages. Additionally, to accommodate the latest backbone models during the training phase, we design a Staged Modality-shared Loss Scheduler (SMS). Finally, our method introduces Channel Hybrid Filling Module (CHF), which enriches datasets and mitigates low-level modal discrepancies. After conducting numerous experiments on the SYSU-MM01 and RegDB datasets, it has been proven that our proposed method surpasses the current forefront methods in visible-infrared person re-identification.
MDGlass: Microscopic Defect Dataset for Glass with Polarized and Orthogonal Images
Authors: Li Shupan , Li Qiang , Jiang XiaoHeng , Jiu Mingyuan , Chen Li , Lu Yang , Chen Yan , Guo Wei , Dong Ming , Xu Mingliang
Published: June 2024

The glass defect dataset serves as the foundation for analyzing defects and applying artificial intelligence algorithms to classify them. The current glass defect datasets are very limited and cannot reflect the microscopic state of defects. To fill this gap, we built a microscopic glass defect dataset. This dataset comprises 4 types of defects, namely glassy state, surface spots, and so on, and can be categorized into a real subset and a generated subset. The real subset contains approximately 450 images collected directly from the production line. The defect sizes range from 0.1mm to 10mm, and the images are magnified 50-100 times using a Leica polarizing microscope under polarised and orthogonal illumination. As the real subset is small, we also built a generated subset with 1150 images using DcGAN, DDPM and Stable Diffusion algorithms. Furthermore, we evaluated the image quality of the dataset using 6 broad metrics, such as Contrast and NIQE, and established a classification baseline for the dataset by employing classical image classification algorithms.
Heat-triggered Dynamic Self-healing Framework for Variable-temperature Stable Perovskite Solar Cells
Authors: Li Meng , Tang Ying , Zhang Zuhong , Li Guixiang , Qin Chaochao , Su Zhen-Huang , Liu Hairui , Yang Feng , Yang Yonggang , Aldamasy Mahmoud Hussein , Deng Lin-Long , Wang Luyao , Liu Yufang , Abate Antonio
Published: June 2024

Metal halide perovskite solar cells (PSCs) are promising as the next-generation photovoltaic technology. However, the inferior stability under various temperatures remains a significant obstacle to commercialization. Here, we implement a heat-triggered dynamic self-healing framework (HDSF) to repair defects at grain boundaries caused by thermal variability, enhancing PSCs' temperature stability. HDSF, distributed at the grain boundaries and surface of the perovskite film, stabilizes the perovskite lattice and releases the perovskite crystal stress through the dynamic exchange reaction and shape memory effect of sulfide bonds. The resultant PSCs achieved a power-conversion efficiency (PCE) of 26.32% (certified 25.84%) with elevated temperature stability, retaining 94.2% of the initial PCE after 500 h at 85℃. In a variable temperature cycling test (between −40℃ and 80℃), the HDSF-treated device retained 87.6% of its initial PCE at −40℃ and 92.6% at 80℃ after 160 thermal cycles. This heat-triggered dynamic self-healing strategy could significantly enhance the reliability of PSCs in application scenarios.
Angiotensin-(1-7) decreases inflammation and lung damage caused by betacoronavirus infection in mice
Authors: Lima Erick Bryan de Sousa , Carvalho Antônio Felipe Silva , Zaidan Isabella , Monteiro Adelson Héric A. , Cardoso Camila , Lara Edvaldo S. , Carneiro Fernanda S. , Oliveira Leonardo C. , Resende Filipe , Santos Felipe Rocha da Silva , de Souza-Costa Luiz Pedro , Queiroz-Junior Celso M. , Russo Remo C. , Santos Robson A. S. , Tavares Luciana P. , Teixeira Mauro M. , Costa Vivian V. , Sousa Lirlândia P.
Published: June 2024

Objective: Pro-resolving molecules, including the peptide Angiotensin-(1-7) [Ang-(1-7)], have potential adjunctive therapy for infections. Here we evaluate the actions of Ang-(1-7) in betacoronavirus infection in mice.
Methods: C57BL/6 mice were infected intranasally with the murine betacoronavirus MHV-3 and K18-hACE2 mice were infected with SARS-CoV-2. Mice were treated with Ang-(1-7) (30 μg/mouse, i.p.) at 24-, 36-, and 48-hours post-infection (hpi) or at 24, 36, 48, 72, and 96 h. For lethality evaluation, one additional dose of Ang-(1-7) was given at 120 hpi. At 3- and 5-days post- infection (dpi) blood cell, inflammatory mediators, viral loads, and lung histopathology were evaluated.
Results: Ang-(1-7) rescued lymphopenia in MHV-infected mice, and decreased airways leukocyte infiltration and lung damage at 3- and 5-dpi. The levels of pro-inflammatory cytokines and virus titers in lung and plasma were decreased by Ang-(1-7) during MHV infection. Ang-(1-7) improved lung function and increased survival rates in MHV-infected mice. Notably, Ang-(1-7) treatment during SARS-CoV-2 infection restored blood lymphocytes to baseline, decreased weight loss, virus titters and levels of inflammatory cytokines, resulting in improvement of pulmonary damage and clinical scores.
Conclusion: Ang-(1-7) protected mice from lung damage and death during betacoronavirus infections by modulating inflammation, hematological parameters and enhancing viral clearance.
Porcine epidemic diarrhea virus E protein induces unfolded protein response through activating both PERK and ATF6 rather than IRE1 signaling pathway
Authors: Zheng Liang , Zhang Hua
Published: June 2024

Porcine epidemic diarrhea virus (PEDV) small envelope protein (E) plays important roles in virus budding, assembly and release. Our previous study found that PEDV E protein localizes in the endoplasmic reticulum (ER) to trigger the unfolded protein response (UPR). However, how UPR is directly regulated by PEDV E protein remains elusive. Thus, in this study, we investigated the expression of ER chaperone glucose-regulated protein 78 (GRP78) and activations of the three main UPR signaling pathways to elucidate the underlying mechanisms of UPR triggered by PEDV E protein. The results showed that over-expression of PEDV E protein increased expression of GRP78, and induced stronger phosphorylation of both protein kinase RNA-like ER kinase (PERK) and eukaryotic initiation factor-2α (eIF2α), as well as caused the significant degradation of activating transcription factor 6 (ATF6), in both dose- and time-dependent manners. However, PEDV E protein did not induce UPR through the inositol-requiring enzyme 1 (IRE1) signaling pathway, as revealed by the splicing of XBP1 remaining unaffected and unchanged when PEDV E protein was overexpressed. Taken together, these results demonstrate that PEDV E protein induces UPR through activation of both PERK and ATF6 pathways rather than IRE1 signaling. This study not only provides mechanistic details of UPR induced by the PEDV E protein, but also provides insights into these new biological functions to help us better understand the interactions between PEDV and host cells.
METHOD FOR IDENTIFYING THE EQUIVALENT FRAME OF A SOLUTION BY ANALYZING TITRATION VIDEO IMAGES USING AN AUTOMATIC APPROACH
Authors:   Institut National Polytechnique Houphouet Boigny, Yamoussoukro, Cote dIvoire., Sandje Marcelin , Doffou Diako Jerome ,   Ecole Superieure des Technologies de lInformation et de la Communication (ESATIC), Abidjan, Cote dIvoire., Sie Ouattara ,   Ecole Superieure des Technologies de lInformation et de la Communication (ESATIC), Abidjan, Cote dIvoire.
Published: June 2024

Determination of equivalence in inorganic chemistry can be achieved by various methods, such as colorimetric titration, conductimetric titration and pH-metric titration. However, these traditional methods often require repetition to guarantee reliable results, increasing the time and cost of the experiment. In response to this limitation, some authors have suggested a semi-automatic approach based on colorimetric titration, although this also has subjective aspects. The aim of this article is to propose a new method based on intuitive observation to identify the equivalent frame in a titration video. This approach relies on the use of the KNN classifier to automate the detection of the reference frame within a predefined confidence interval. To facilitate this automation, a dataset was built up from experiments at the Groupe Chimie de lEau et Substances Naturelles (GCESNA) laboratory at the Institut National Polytechnique HouphouetBoigny (INP-HB).The performance of the KNN algorithm was effectively assessed by evaluating it against the performance indicators of precision, recall and F-measure. The results obtained are as follows: Precision: 92.2%, Recall: 91.7% and F-measure: 92.0%. These experimental results demonstrate the effectiveness of the KNN algorithm in frame classification.
CASE REPORT: TUBERCULOSIS OF THE CALCANEUM IN A 6-YEAR-OLD CHILD
Authors:   Pediatrics Surgery Department, Mohammed VI Hospital., Amine Adem , Hanane Salhi ,   Pediatrics Surgery Department, Mohammed VI Hospital., Larbi Benradi ,   Pediatrics Surgery Department, Mohammed VI Hospital., Mohamed Belahcen ,   Pediatrics Surgery Department, Mohammed VI Hospital.
Published: June 2024

Tuberculosis remains endemic in third-world countries. While pulmonary tuberculosis is most common, skeletal tuberculosis is rare, even exceptional. We present the case of a 6-year-old child admitted with a swelling on the right hindfoot, alongside weight loss and no fever. Clinical examination revealed a painless swelling on the inner side of the right hindfoot. X-ray showed an osteolytic lesion in the calcaneum, with negative inflammatory markers. Further investigations including ultrasound and MRI confirmed an infectious process. Histological examination of a biopsy indicated tuberculosis of the calcaneum. The patient was treated with anti-tubercular medication and showed good clinical improvement. Skeletal tuberculosis is a serious condition with potential disabling consequences without adequate management.
ARTIFICIAL INTELLIGENCE WITH MICROSTRATEGY: ENHANCING DATA INGESTION AND CUSTOMER BENEFITS WITH AI INTEGRATION
Authors: Chintala Suman
Published: June 2024

The integration of Artificial Intelligence (AI) with MicroStrategy is revolutionizing data management and analytics, significantly enhancing organizational productivity and efficiency. By incorporating advanced technologies such as large language models (LLMs) and generative AI, MicroStrategy offers features like Auto Answers and Auto Dashboard, which streamline data analysis and provide rapid, reliable insights. This integration is particularly impactful in fields such as healthcare, where AI-driven solutions like CerviCARE AI improve diagnostic accuracy in cervical cancer screening. The implementation of AI in MicroStrategy optimizes data ingestion, processing, and analysis, boosting data processing speed and analytical precision by up to 40%. This comprehensive integration distinguishes MicroStrategy in the business intelligence landscape, offering superior capabilities compared to traditional BI tools.
CORRELATION BETWEEN BLOOD TYPE AND SEVERITY OF COVID-19 RESPIRATORY COMPLICATIONS WITH SPECIAL EMPHASIS ON SPO2 CATEGORIES
Authors:   Research Associate, Department of Microbiology, School of Medical Sciences and Research, Sharda Hospital, Greater Noida, Uttar Pradesh., Pal Singh Satendra , Kakru Dalip ,   Professor, Department of Microbiology, School of Medical Sciences and Research, Sharda Hospital, Greater Noida, Uttar Pradesh., Mishra Jyoti ,   Professor, Department of Pathology, School of Medical Sciences and Research, Sharda Hospital, Greater Noida, Uttar Pradesh., Sarwat Tarana ,   Associate Professor, Department of Microbiology, School of Medical Sciences and Research, Sharda Hospital, Greater Noida, Uttar Pradesh., Sharma Ankur ,   Assistant Professor, Department of Anatomy, School of Medical Sciences and Research, Sharda Hospital, Greater Noida, Uttar Pradesh.
Published: June 2024

Background:In the relentless fight against the COVID-19 pandemic, researchers have diligently sought to identify high-risk groups to mitigate severe consequences. This study specifically explores the link between the types of ABOblood groups and COVID-19, aiming to establish a correlation between theABOblood groups and the severity of respiratory illness caused by this virus. While various studies have delved into this association, our research stands out as the first from the COVID-designated hospital affiliated with a tertiary care academic institute in Delhi-NCR. Methods: A prospective study at Sharda Hospital (January 2022-January 2023) included 219 COVID-19 patients. Blood types, demographics, and clinical data were collected. Severity was categorized per Ministry of Health criteriawhich takes into consideration SpO2 levels and respiratory rate. Normal distribution was confirmed by the Shapiro-Wilk test. Kruskal-Wallis and Chi-square tests were used for significance assessment, with p< 0.05 indicating statistical significance. Results:In this study of 219 COVID-19 patients, ages 41-50 constituted 23.3%, males dominated (n=154), and severe cases correlated with pulse rate >100 and oxygen saturation <92% (p < 0.001). Blood group distribution showed skewed deviation, with 42.5% A positive. No significant association between smoking and blood group was found in the population under study. Discussion: Our findings contradict some existing literature, emphasizing the multifaceted nature of COVID-19 outcomes. While blood type may impact susceptibility, its role in determining severity appears nuanced. Further research should explore the intricate interplay between blood type, comorbidities, and COVID-19 outcomes. Conclusion:In this study, a predominance of A blood group among COVID-19 patients was observed, but no significant association with illness severity was identified, necessitating further research to understand the underlying mechanisms.