bluuebunny/crossref_metadata_2025 huggingface dataset:
Machine learning-based hazard assessment of landslides within the rainband of typhoon Lekima
Authors: Feng Qiangqiang , DING Mingtao , He Yufeng , Ming Yicheng , Ren Heming
Published: May 2024

Amid escalating global climate change, the frequency of extreme weather events, such as powerful typhoons, has been on the rise. Notably, Typhoon Lekima in 2019 severely impacted Zhejiang Province, triggering a series of severe landslides. This study employs six different machine learning approaches to propose a landslide hazard assessment zoning model that takes into consideration the typhoon track and rainbands. For this purpose, Zhejiang Province was selected as a case study area based on the path and internal rainbands of Typhoon Lekima. The cumulative rainfall 48 hours before and after the typhoon's landfall was recorded, and various factors such as topography, geology, vegetation, and human engineering activities were integrated. Landslide hazard was evaluated using six machine learning techniques: Random Forests (RF), Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Logistic Regression (LR), Artificial Neural Networks (ANN), and Gradient Boosting Decision Tree (GBDT). The evaluation results indicate that all models effectively identified landslide-prone areas, with exceptional performance from the GBDT and RF models, achieving AUC values of 0.95 and 0.94, respectively. Furthermore, the distribution of landslide hazards was closely linked to typhoon intensity and trajectory. Landslide risks were high in areas experiencing category 12 typhoons, centrally symmetric along the typhoon path and decreasing towards the borders of the inner rainbands; areas affected by category 10–11 typhoons exhibited asymmetric hazards concentrated on the coastal side, whereas regions under category 9 typhoons showed lower risk levels. Lastly, the local interpretability of models through the LIME (Local Interpretable Model-agnostic Explanations) algorithm enhanced understanding of model predictive behaviors, offering increased accuracy and interpretability in landslide hazard assessment compared to traditional methods. This research provides a scientific basis for developing targeted landslide disaster prevention and control strategies and improving emergency management of such disasters.
Experimental study on the adhesion force of ground film in sandy soil in South Xinjiang
Authors: Guo Pengfei , Bai Yunhui , Wang Xufeng , Guo Wensong , Liu Yang , Liu Xuefang
Published: May 2024

Xinjiang is the most important cotton producing area in China. In the cotton planting process, mulching drip irrigation technology is usually used, which has the functions of moisturizing and inhibiting weed growth, etc. After one planting cycle, residual mulching film in the soil will adhere to the soil, resulting in difficult mechanical recovery of mulching film. At present, the influence of various factors on the adhesion between soil and mulching film is unclear. In order to solve this problem, single-factor experiment and multi-factor experiment were used to verify the variation rule of soil adhesion. The results of single factor experiment showed that the effect of soil particle size on its adhesion increased first and then decreased, and the maximum adhesion appeared in the particle size of 8.47um to 33.87um. The influence of soil contact time on the adhesion of mulch film increased first and then stabilized, and reached the peak value at 5 minutes. When soil is affected by pressure, soil adhesion increases first and then decreases, and reaches the maximum at 1500N. Soil moisture content also affected the adhesion, reaching the maximum value at 22.87%. Multi-factor analysis showed that contact time, moisture content and particle size had significant effects together. The regression equation was established to predict the adhesion between film and soil, which provided theoretical support for the treatment of residual film and mechanized recovery.
A NER Method Based on Location-Aware Multi-Feature Fusion
Authors: ZHOU Wen
Published: May 2024

Named Entity Recognition (NER) is a fundamental and critical task in natural language processing, which mainly includes entity boundary recognition and entity classification. Previous studies of NER have made a lot of achievements, but most of them ignore the important feature of location information, and the extraction of text span feature is not enough. For the above shortcomings, we propose a location-aware multi-feature fusion entity recognition method, which enhances the sensitivity of the model to the span length and span by explicitly adding rotation position coding. Then the feature extraction and fusion of span are carried out by conditional layer normalization (CLN) fusion dilated convolution and multiplicative attention respectively, which strengthens the richness of span features. Thanks to the inclusion of the above methods, our model outperforms several SOTA baseline models on several widely used public datasets. Our model is also applicable to both flat NER and nested NER.
Latent Classes of Adolescent Health Behaviour, Social Covariates and Mental Wellbeing: A Longitudinal Birth Cohort Study
Authors: Knowles Christopher , Thornton Emma , Petersen Kimberly , Lereya Suzet Tanya , Humphrey Neil
Published: May 2024

Background: Adolescent wellbeing has been declining in the United Kingdom for over a decade. The expansion of services to support the mental health and wellbeing of young people is a public health priority and a core component of the National Health Service’s Long-Term Plan. In this paper, we contribute to knowledge regarding the epidemiology of adolescent mental wellbeing by leveraging secondary analysis of a very large longitudinal dataset (#BeeWell) to generate insights regarding different patterns of health behaviour, their covariates, and consequences for mental wellbeing one year later.
Methods: A Latent Class Analysis was conducted using data on physical activity, sleep, and eating habits collected in 2021 from 18,478 Year 8 pupils from Greater Manchester (United Kingdom) to (1) identify distinct latent classes of adolescent health behaviour; (2) establish factors likely to be associated with latent class membership; and (3) determine whether latent class membership contributes to variance in self-reported mental wellbeing one year later.
Results: A three-class solution was identified as an excellent fit to the data, discriminating between: the Wellness Weary (n = 2,717; 15%); the Balanced Bunch (n = 7,377; 40%); and the Green and Dream Team (n = 8,384; 45%). Several factors significantly influenced class membership. Most notably, socio-economic disadvantage and social media use were linked with less favourable health behaviour patterns, whilst cisgender heterosexual girls were likely to endorse healthier patterns. After adjusting for covariates, the Green and Dream Team reported significantly greater mental wellbeing than the Balanced Bunch one year later, signalling that health behaviours endorsed in adolescence may have a long-term impact on mental health.
Conclusions: Beyond advancements in fundamental understanding, findings yield significant translation opportunities through their use and application in health, education, and allied professional settings designed to support young people.
Assessment of Sedimentry Thickness and Structural Paramaters of Binji and Its Environs, Part of Sokoto Basin North-west Nigeria, Using Satellite Gravity and Aeromagnetic Data Analysis
Authors: Shehu Abdulmalik Sfada , Ali Abdullah Musa
Published: May 2024

In this study, we assessed depth to basement (Sedimentary thickness) and structural parameters of Binji and its environs, part of Sokoto Basin using an integrated analysis of aeromagnetic and satellite gravity data, to ascertain the viability for hosting hydrocarbon potentials of the study area. Source parameter imaging, Euler deconvoultion and Spectral analysis were employed to determine the Structural and sedimentary thickness, while Analytical signal, center for exploration target and vertical derivatives was used to enhance the structural features and lineament in the study area. The Results from the power spectral analysis revealed that the average thickness of the sediments varies from 0.865 km to 3.74 km from magnetic anomaly map and 0.112 km to 5.02 km from bouguer gravity map. The SPI estimates depth to magnetic source ranging from 0.931 km to 5.174 km from magnetic anomaly map and depth range between 515m to 3315m from bouguer map. Euler solution for Magnetic anomaly map revealed structural depths ranging from -628m to 1624m for (SI= 0) and depths ranging from 3012m to 3865m for (SI= 1). Whereas Euler Solution for bouguer anomaly map show depth range between -683m to 5078m for (SI= 1), and depths ranging from 832m to 5474m for (SI= 2). Both The gravity and magnetic derivatives map show predominant SW-NE, SW-EW and E-W structural trend. The whole work implies that, hydrocarbon prospect is possible in Sokoto Basin as depth of oil and gas maturation of most West African prospect start from 2.3km depth.
Innovative Approaches to Barley Cultivation: Magnetic Field Treatment for Improved Yield and Quality
Authors: KAHRAMAN Neslihan DORUK , OKUMUS Onur , YILDIZ Mustafa
Published: May 2024

Barley is a cereal grain cultivated widely across the world. Barley’s wide adaptability is the reason for it being preferred in dry farming systems in several nations. The ever-increasing world population and decreasing agricultural land have led to a serious issue of lower yield per unit area. In this context, the present study aimed to determine the effects of 150 mT of magnetic field (MF) treatment applied at different time points (Control, 24 h, 48 h, and 72 h) on the biochemical characteristics, yield, and yield components of barley plants. Three barley cultivars, namely, Aydanhanım, Bolayır, and Baronesse, were cultivated at Konya and Kayseri locations during the 2020/2021 growing season. An average increase of 24% in the seed yield, 20% in the protein yield, 30% in starch yield, and 35.89% in oil yield were observed in groups that received magnetic field treatments at 48 h and 72 h. at both locations, compared to the control groups, MF treatments led to significant increases in the spike length, number of grains per spike, and 1000 grain weight, all of which are important agricultural traits affecting plant yield. These findings contributed to the information on plant development and biochemical contents after magnetic field application and would, therefore, serve as a reference for future studies on the subject.
A SDGs-oriented evaluation of the ecological sustainability of international horticultural exposition sites in Chengdu, China
Authors: Huang Biao , Yang Haolin , Wang Ruoyu , Meng Yufei , Feng Shi , Li Mucong , Hu Yonghong , Peng Hongming , Shang Kankan , Jiang Zehui
Published: May 2024

This study uses AHP-entropy weight methodology and a spatial econometric regression model to evaluate the ecological sustainability and its changes between the current situation and the planning scenario at the 2024 Chengdu International Horticultural Exposition in China. The results reveal that the low and highest sustainability levels decreased, while medium levels increased to 34.04 hm2. Converting village settlements, wastelands, and farmland into exhibition gardens and water bodies will increase medium-level ecological sustainability by improving rain and flood security and reducing flood disaster risk. Integrated Service areas will have more impervious surfaces as the site develops. Some forest destruction, decreased vegetation coverage, three-dimensional green volume, and vegetation carbon stock will result. It will lower the highest ecological sustainability. The regressive correlation between ecological sustainability level and quantitative indicators was relatively high, ranging from 0.5875 to 0.7148. It will provide policymakers with references and guidance for sustainable development mega-events.
Comparatives Studies on the Proximate Composition and Sensory Evaluation of “Fura” Produced From Selected Cereals
Authors: G Lawrence I. , M Oyebanji O.
Published: May 2024

This research work aimed to investigate the comparative study of fura from different cereals. Pearl-millet (Pennisetum glaucum), Finger-millet (Eleusine coracana), Sorghum (Sorghum bicolor) and maize (Zea may) were cleaned, dry milled and sieved to produced fura flour. The cereal flour was mixed with spices and conditioned using 1.5 L of tap water to improve molding. The samples were analyzed for proximate and sensory properties. The data obtained were analyzed using ANOVA (p < 0.05). The result of the proximate composition of the fura samples ranged between 16.70–18.07%, 1.18–3.66%, 0.82–1.23%, 2.38–4.32%, 10.07–10.53% and 65.12–67.20% for moisture, ash, fibre, lipid, protein and carbohydrate content respectively. The sensory evaluations of the samples showed sample A (Pearl-millet fura) with higher overall acceptability. However, all the fura samples scored above averages which imply that the entire samples were accepted by the panelists. Finger-millet, white and red sorghum and maize fura would therefore, be acceptable as good alternatives to pearl-millet for fura production.
Multiresolution of the one dimensional free-particle propagator
Authors: Dinvay Evgueni , Zabelina Yuliya , Frediani Luca
Published: May 2024

Novel methods to integrate the time-dependent Schrödinger equation within the framework of multiscale approximation is presented. The methods are based on symplectic splitting algorithms to separate the kinetic and potential parts of the corresponding propagator. The semigroup associated with the free-particle Schrödinger operator is represented in a multiwavelet basis. The propagator is effectively discretized with a contour deformation technique, which overcomes the challenges presented by previous discretization methods. The discretized operator is then employed in simple numerical simulations to test the validity of the implementation and to benchmark its precision.
Sozialisation in mediatisierten Lebenswelten
Authors: Thumel Mareike
Published: May 2024

In diesem Beitrag wird der Frage nach den Rahmenbedingungen und dem Handeln im Feld der Medien- und informatischen Bildung mit Kindern im mittleren Kindesalter nachgegangen. Dafür wird zunächst der Blick geweitet, indem die Sozialisation der Kinder heutzutage betrachtet wird. Aufbauend auf der Darlegung des interaktionistischen Verständnisses von Sozialisation als lebensbegleitender Vorgang, in dem die Subjekte als aktive Konstrukteure der Sozialisation definiert werden, wird zum einen auf die Bedeutung von Medien im Sozialisationsprozess und zum anderen auf die zentralen Sozialisationsinstanzen von Kindern im mittleren Kindesalter eingegangen. Dass auch Kinder als soziale und kompetente Akteur:innen betrachtet werden, stellt eine relativ neue Entwicklung dar. Diese wird zu Beginn des zweiten Kapitels ‹Gesellschaftlicher Wandel› ausgeführt. Im Anschluss werden aktuelle Spezifika kindlicher Sozialisation herausgearbeitet und Veränderungsprozesse in der Gesellschaft dargelegt. Es werden die Metaprozesse der tiefgreifenden Mediatisierung, der Individualisierung sowie der Globalisierung und den Auswirkungen auf die Sozialisation dargelegt. Das anschliessende Kapitel richtet den Blick explizit auf Kinder im mittleren Kindesalter und stellt neben dem Medienaneignungsprozess und den Mediennutzungsmotiven auch den Entwicklungsprozess sowie aktuelle Befunde zur kindlichen Mediennutzung dar. Das Kapitel wird mit einer Darstellung der Chancen und Risiken der Mediennutzung abgeschlossen. Das letzte Kapitel richtet den Blick auf die Medien- und informatische Bildung von Kindern im mittleren Kindesalter. Nach einer Begriffsklärung zu ›Medienbildung› und ‚informatische Bildung› werden unterschiedliche Aktivitäten der Medien- und informatischen Bildung ausgeführt. Dabei wird zwischen formalisierten, nicht formalisierten sowie teilformalisierten Aktivitäten unterschieden. Zuletzt wird das Kapitel mit einem Fazit abgerundet.
Handeln im Kontext der Medien- und informatischen Bildung
Authors: Thumel Mareike
Published: May 2024

In diesem Beitrag wird der Blick auf das Handeln im Kontext der Medien- und informatischen Bildung gerichtet. Dafür werden zunächst die nicht-affirmative Erziehungs- und Bildungstheorie Benners (2001) mitsamt den Prinzipien pädagogischen Denkens und Handelns dargelegt Anschliessend werden das professionelle pädagogische Handeln beleuchtet und die Ziele und Zwecke der Medien- und informatischen Bildung betrachtet. Neben den Fachdiskursen in der Medienpädagogik sowie der Informatikdidaktik – und der Zusammenführung der beiden Perspektiven – werden auch die gesellschaftlichen Zieldimensionen beleuchtet. Das dritte Kapitel widmet sich den Prinzipien, Ansätzen sowie Konzepten. Zunächst werden ausserschulische Prinzipien dargelegt, im Anschluss die der Medienpädagogik sowie der Informatikdidaktik. Mit dem pädagogischen Making findet sich ein relativ neuer Ansatz, der im Anschluss beschrieben wird. Das Kapitel endet mit einem Fazit und einer Diskussion der aktuell unterschiedlichen Ziele und Zwecke für Medien- und informatische Bildung vor der nicht-affirmativen Erziehungs- und Bildungstheorie Benners und einer Konkretisierung der Forschungsfragen.
Forschungsdesign und methodisches Vorgehen
Authors: Thumel Mareike
Published: May 2024

Die Perspektive der Bildungspraktiker:innen auf deren Handeln im Feld der Medien- und informatischen Bildung mit Kindern sowie die Rahmenbedingungen ihrer Arbeit ist in der vorliegenden Studie zentral. Es liegen wenige Erkenntnisse über die teil-formalisierten Aktivitäten im Feld der Medien- und informatischen Bildung und das Handeln, die Strategien und die Rahmenbedingungen der Bildungspraktiker:innen vor (siehe Thumel 2024a; Thumel 2024b). Somit wird das Ziel verfolgt, den Status quo ausserschulischer Angebote für das mittlere Kindesalter hinsichtlich der Hervorbringung einer Medien- und informatischen Bildung zu untersuchen. Daher wird ein explorativ angelegtes Forschungsdesign gewählt, um die zentrale Forschungsfrage nach den Handlungsperspektiven der Bildungspraktiker:innen in teilformalisierten Aktivitäten mit Kindern im mittleren Kindesalter, im Feld der Medien- und informatischen Bildung zu beantworten. Dafür wurden mit 31 Bildungspraktiker:innen im Zeitraum von Juli 2019 bis April 2021 bundesweit leitfadengestützte Interviews geführt und diese in zwei methodischen Schritten ausgewertet. Zunächst wurden die Interviews mit der inhaltlich strukturierenden Inhaltsanalyse nach Kuckartz (2018) mit Hilfe der Analysesoftware MAXQDA codiert. Die Kategorienbildung fand dabei sowohl induktiv als auch deduktiv statt. Dieser Analyse schliesst sich eine Typenbildung an, indem mit dem Konzept des Merkmalsraums und mit einem mehrschrittigen Reduktionsverfahren eine Typologie mit sechs Typen gebildet wurde. In diesem Kapitel wird das methodische Vorgehen transparent gemacht.
Ground state of the staggered Heisenberg-Γ honeycomb model in a magnetic field
Authors: Ahmadi-Yazdi Mojtaba , Zare Mohammad-Hossein , Mosadeq Hamid , Fazileh Farhad
Published: May 2024

We study the ground state properties of the S=1/2 staggered Heisenberg-\GammaΓ honeycomb model under a magnetic field based on analytical and numerical methods. Our calculations show that the conventional zigzag and stripy phases are favored because of the staggered Heisenberg interaction away from the pure \GammaΓ limit. In our classical analysis, we find that the field induces a series of competing magnetic phases with relatively large unit cells in the region sandwiched between the two magnetic phases with long-range ordering. In the quantum treatment, these large magnetic unit cells are destabilized by strong quantum fluctuations that result in the stabilization of a gapless quantum spin liquid behavior. In a honeycomb \GammaΓ magnet, we disclose an intermediate-field gapless quantum spin liquid phase driven by a tilted field away from the out-of-plane direction only for a narrow region between the low-field zigzag and high-field fully polarized phases.
WATER QUALITY INDEX OF LAKE NOKOUE PREDICTION USING RANDOM FOREST AND ARTIFICIAL NEURAL NETWORK
Authors:   Institut National de lEau (INE), Centre dExcellence dAfrique Pour lEau et lAssainissement (C2EA), Universite dAbomey Calavi (UAC)., Dabire N. ,   Ecole Doctorale des Sciences de lIngenieur (ED-SDI), Universite dAbomey Calavi., Ezin E.C. ,   Institut de Formation et de Recherche en Informatique (IFRI), Universite dAbomey Calavi., Firmin A.M. ,   Institut National de lEau (INE), Centre dExcellence dAfrique Pour lEau et lAssainissement (C2EA), Universite dAbomey Calavi (UAC).,   Laboratoire dHydrologie Appliquee (LHA), Universite dAbomey Calavi.
Published: May 2024

Poor water quality is a serious problem in the world which threatens human health, ecosystems, plant and animal life. Prediction of surface water quality is a main concern in water resource and environmental systems.The lake Nokoue in Benin, the countrys main water body, is experiencing without equivox pollution. Usually, the water quality index is evaluated manually by complex mathematical formulas with major risks of errors. This study discusses the development and validation of a Random Forest and Artificial Neural Network (ANN) model in estimating water quality index (WQI) in the lake Nokoue.The two models have been developed and tested using data from 20 monitoring stations over a period of 12 months. The modeling data was divided into two sets. For the first set, RF and ANN were trained, tested and validated using 12 physical-parameters as input parameters. A detailed comparison of the overall performance showed that prediction of the random forest (RF) model was better than artificial neural networks with coefficient of correlation (R2)=0.98, root mean squared error (RMSE)=0.12, explained variance score (EVS)=0.98 and mean absolute error (MAE)= 0.14 at training phase while and at the validation phase their values are0.80, 0.19, 0.23, 0.74 respectively which demonstrates that RF is capable of estimating WQI with acceptable accuracy. This method simplifies the calculation of the WQI and reduce substantial efforts and time by optimizing the computations. This will help in taking appropriate preventive measures to control the water quality of lake Nokoue through associated chemical treatments.
OBTURATION AND DIFFERENT OBTURATION TECHNIQUES- A REVIEW
Authors: Chakraborty Sabyasachi , Dutta Shamik , Desai Priti
Published: May 2024

The crucial stage of obturation completes the endodontics triad. Achieving a fluid tight seal and performing an obturation correctly and appropriately are critical to the outcome of endodontic treatment. Among the several obturation procedures available, selecting a specific technique depends on the anatomy of the root canal and attaining case-specific goals. Warm vertical compaction and lateral condensation are the two fundamental obturation techniques. Modern tools and methods have emerged, like those that use vibration and heat to cause the obturating material to condense and compact. These innovations have fundamentally changed the field of endodontics and increased the predictability of obturation success.
LA GREFFE DES CELLULES ADIPEUSES DANS LESTHETIQUE DE LA FACE: TECHNIQUE ET INDICATIONS
Authors:   Service de Chirurgie Plastique, Reconstructive, Esthetique et des Brules du Centre Hospitalier Universitaire Mohammed VI de Marrakech., Marzak M. , Elatiqi O. ,   Service de Chirurgie Plastique, Reconstructive, Esthetique et des Brules du Centre Hospitalier Universitaire Mohammed VI de Marrakech., Laamrani D. ,   Service de Chirurgie Plastique, Reconstructive, Esthetique et des Brules du Centre Hospitalier Universitaire Mohammed VI de Marrakech., Benchamkha Y. ,   Service de Chirurgie Plastique, Reconstructive, Esthetique et des Brules du Centre Hospitalier Universitaire Mohammed VI de Marrakech.
Published: May 2024

The objective of our study is to highlight the technique, the different indications, and the results of autologous fat grafting in facial aesthetics by reporting the experience of our department and through a literature review. This is a retrospective study involving 14 patients who underwent aesthetic and reparative facial fat grafting over a period of 2 years, from January 1, 2022, to January 1, 2024, at the Department of Plastic, Reconstructive, Aesthetic, and Burn Surgery of the Mohammed VI University Hospital Center in Marrakech. We collected 22 autologous facial fat grafts, with the mean age of our patients being 26.36 years, ranging from 11 to 58 years. A clear female predominance was noted (86.4%) with a female-to-male ratio of 6. The two main indications were atrophy and volume enhancement (72%) and contour refinement (28%). The procedures were performed under general anesthesia. The fat was harvested from a single donor site: the abdominal region. The mean volume harvested was 96.8 ml, ranging from 80 ml to 120 ml. All samples were centrifuged at a speed of 3,000 rpm for 3 minutes. The mean injected volume was 25.55 ml, ranging from 5 to 90 ml. 10% of the fat grafts were associated with a facelift. The average length of hospital stay was 1 day. None of our patients experienced immediate or late complications. 68% of patients underwent a single fat grafting session, 21% underwent 2 sessions, and only 11% required 3 sessions. The mean interval between sessions was 3 months. Subjective evaluation of satisfaction 3 months after the last intervention revealed a satisfaction rate of 90%. Adipose cell grafting is currently considered an ideal method for facial rejuvenation and reshaping due to its safety, simplicity, reproducibility, and the durable and natural results it achieves.
COMPARATIVE STUDY OF 25 µ GM S/L VS. P/V MISOPROSTOL IN INDUCTION OF TERM LABOUR
Authors:   CHC Manawala, Amritsar (Punjab), India., Kaur Gurupreet , Chhabra Jaya ,   Womens Clinic, Indore (M.P.), India.
Published: May 2024

Misoprostol is effective at inducing labour.There are not enough data from randomised controlled trials to determine the best route to ensure a successful and safe outcome. Reasons for induction include being overdue, pre- labour rupture of membrane and high blood pressure.
EXAGGERATED CAECUM WITH ABERRANT APPENDIX- A CASE REPORT
Authors:   Resident, Armed Forces Medical College, Pune., Daniel Gaurav , Ghosh Dibendu ,   Resident, Armed Forces Medical College, Pune., Haresh Kumar P. ,   Professor, Armed Forces Medical College, Pune., Bandyopadhyay Debasis ,   Professor and HOD, Armed Forces Medical College, Pune.
Published: May 2024

Introduction: Depending on shape, four types of caecum are known out of which exaggerated caecum is of rare type. In this type the right saccule of caecum overgrows and left saccule is atrophied. In normal anatomy the appendicular orifice is situated about 2.5 cm below and behind the ileocaecal Orifice. Methodology: The right iliac fossa was dissected to note for the position of Appendix with respect to iliocaecal junction in a formalin fixed cadaver. Result: An exaggerated caecum with aberrant appendix was found, with the base of appendix above the ileocaecal junction, a large right sacculation and an absent left sacculation of the Caecum was also observed. Conclusion: An exaggerated caecum in itself is uncommon but along with the positional variation in the base of appendix it becomes a rare finding. The knowledge about this variation will be useful to surgeons while operating in this region.
UNUSUAL ASSOCIATION OF MENINGIOMA AND PITUITARY HYPOPLASIA IN A PATIENT WITH OSTEOGENESIS IMPERFECTA
Authors:   Department of Endocrinology, Diabetology and Nutrition - Hassan II University Hospital., Rouimi Leila , Abchouche Sabrine ,   Department of Endocrinology, Diabetology and Nutrition - Hassan II University Hospital., El Azime Zineb ,   Department of Endocrinology, Diabetology and Nutrition - Hassan II University Hospital., Aynaou Hayat ,   Department of Endocrinology, Diabetology and Nutrition - Hassan II University Hospital.,   Epidemiology and Health Sciences Research Laboratory.in Health Sciences, Faculty of Medicine and Pharmacy, Sidi Mohamed Ben Abdellah University, Fez, Morocco., Salhi Houda ,   Department of Endocrinology, Diabetology and Nutrition - Hassan II University Hospital.,   Epidemiology and Health Sciences Research Laboratory.in Health Sciences, Faculty of Medicine and Pharmacy, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Published: May 2024

Osteogenesis imperfecta (O.I.) is a rare inherited disorder that alters the physiological structure of connective tissue. In some cases, several neurological features have been described. We report.the case.of.a.10years old boy with a knownfamilyhistory of type I OI who suffered from repeated bone fractures, dorsal kyphoscoliosis, bone fragilityand severe stature weight growthdelay. The Brain MRI revealed pituitary hypoplasia, with a fortuitous discovery of a parietal plane meningioma. The association of osteogenesis imperfecta and meningioma, as well as osteogenesis imperfecta and pituitary hypoplasia, have rarely been reported in the literature however, no accessible case of the association of the three entities has been described before within the limits of our research.The objective of our work is to demonstrate a possible pathophysiological link between these three entities.
Dynamic resilient leadership: Mediating effects on logistics bureau performance
Authors: Widakdo Danang , Andi Sularso Raden , Titisari Purnamie , Apriono Markus
Published: May 2024

The majority of new employees come from the millennial generation and are required to know things related to technology and information. On the other hand, the leadership’s ability to utilize technology, which is generally not very high, will create a gap between leaders and subordinates, affecting organizational performance. This study seeks to determine whether dynamic resilient leadership can mediate the influence of personality, communication, and work abilities on organizational performance both directly and indirectly. The study sampled logistics bureau office employees in twelve cities of Indonesia. A cross-sectional survey technique with a total sampling method was used to obtain a sample of 527 respondents. Path analysis was employed using the IBM AMOS program. The findings reveal that personality, communication, and work ability directly have a positive and significant effect on dynamic resilient leadership and organizational performance. Personality, communication, and work ability indirectly have a positive and significant effect on organizational performance through dynamic resilient leadership. Thus, it is concluded that dynamic resilient leadership can mediate the influence of personality, communication, and work ability on organizational performance. This study provides contributions and suggestions for policymakers to improve organizational performance.
AcknowledgmentThe authors are grateful to the Banyuwangi State Polytechnic for funding the PMDD research in 2023.
Avaliação da toxicidade aguda, antitumoral e efeitos inibitórios da inflamação aguda de Drimys brasiliensis (Winteraceae)
Authors: Oshiro Mariana Cardoso , Santos Alícia de Souza , De Oliveira Alisson Macário , Da Silva Emanuelle Maria , Pereira Helimarcos Nunes , Dias Jhonatta Alexandre Brito , de Oliveira Marcela Albuquerque , Arruda Marília Gabriela Muniz , Da Silva Marcilene  Souza , Alves Simone da Paz Leôncio , De Souza Ivone Antônia
Published: May 2024

O gênero Drimys, pertencente à Família botânica Winteraceae, é amplamente reconhecido e valorizado. Suas espécies têm sido utilizadas na medicina popular para tratar diversos problemas de saúde, como dores gástricas, dor de dente e anemia. Em certas localidades, as folhas secas e as bagas dos frutos são empregadas como condimentos devido ao seu sabor apimentado. O estudo tem como objetivo avaliar o perfil fitoquímico, toxicidade aguda e as atividades anti-inflamatórias e antitumoral do extrato etanólico das folhas de Drimys brasiliensis. Neste estudo, conduzimos uma análise do perfil fitoquímico e a quantificação de compostos fenólicos e flavonoides. Avaliamos a toxicidade aguda, administrando uma dose de 2000 mg.kg-1 em camundongos. Além disso, investigamos a atividade anti-inflamatória por meio de modelos experimentais de edema de pata, peritonite e bolsão de ar, e realizamos um ensaio antitumoral utilizando o modelo de sarcoma 180. A análise cromatográfica revelou a presença das antocianidinas, compostos fenólicos, cumarinas, derivados antracênicos, terpenos, naftoquinonas, saponinas e triterpenos. O extrato demonstrou uma quantidade grande de compostos fenólicos e flavonoides. Observamos uma baixa toxicidade, com uma DL50 superior a 2000 mg.kg-1. Adicionalmente, verificamos que o extrato apresentou inibição de leucócitos e neutrófilos nas doses de 50, 100 e 200 mg.kg-1. No modelo de edema de pata, as concentrações de 100 e 200 mg.kg-1 foram estatisticamente diferentes (p<0,05). No ensaio antitumoral, a dose de 300 mg.kg-1 resultou em inibição tumoral de 64,33%. Em vista desses resultados promissores, é necessário realizar estudos adicionais para compreender melhor a biodisponibilidade e a farmacocinética do extrato vegetal.
Self-Electrified Water is a Powerful Toolbox for the Production of Chemicals and Energy
Authors: Galembeck Fernando , Santos Leandra , Burgo Thiago , Galembeck Andre
Published: May 2024

Three groups of unexpected experimental findings were published in the past twenty years in different research areas, opposing current paradigms, and supporting the following statements: (i) water is becoming the ideal medium for chemical synthesis; (ii) water is an electrifying agent of most materials; (iii) macroscopic matter is formed by charge mosaics that are often the outcomes of surface processes at the aqueous interfaces. These statements provoke major changes in chemical thinking that have a common feature: the behavior of chemicals in aqueous electrified interfaces may largely differ from their behavior in bulk and theoretical predictions. This review discusses eight widely accepted statements familiar to chemists, students, professors, and teachers, but challenged by many experimental findings obtained in systems having aqueous interfaces. A broader statement that is being used in this context is that the thermodynamic properties of ionic species change depending on the local electric potential, modifying their reactivity, mass transfer, and other properties. Beyond synthetic applications, atmospheric moisture is becoming a promising source of electricity. These new views create huge opportunities for chemical research and development, based on the most abundant and environmentally compatible chemical. Aqueous interfaces are thus a powerful toolbox for building a sustainable economy.
Septic tank usage and its faecal sludge management in Cuenca, Ecuador
Authors: Arévalo-Durazno María Belén , Ballari Daniela , Alvarado Andrés
Published: May 2024

On-site sanitation systems such as septic tanks are widely used for treating domestic wastewater in urban and rural areas which lack sewage systems. However, a large portion of these systems do not properly treat human excreta. A main challenge to improve this is the absence of comprehensive data regarding the usage, emptying and maintenance. In this study, records of septic tank desludging frequency during 2009–2022 and the sewerage coverage updated to 2022 were used to investigate their spatial and temporal utilisation, and the persistence of septic tank usage in areas with sewer networks and uncover the current state of Faecal Sludge Management in Cuenca, Ecuador. The spatial behaviour revealed that OSSs are still in use besides the presence of a sewer network. In 2022, there were 109 septic tanks in urban areas with 14.7% in sectors with sewerage service. In rural areas, 469 septic tanks were recorded with 7.8% situated in areas with sewer networks. Although there is no specialised infrastructure in place for the treatment and disposal of faecal sludge, the city has effectively managed it with the existing sanitation facilities. This assessment contributes to the formulation of a secure framework for a safely managed sanitation.
Impact of reclaimed wastewater on alfalfa production under different irrigation methods
Authors: Mazahrih N. Th. , Albalawneh Abeer , Bani Hani Nabeel , Khadra Roula , Abo Dalo Ahmed , Al-Omari Yousef , Alomari Badir , Abu Hammad Mohammad , Martin Isabel , Fahd Khalid , Carletti Alberto , Paulotto Alessandra , Haddad Nizar
Published: May 2024

The effect of different irrigation methods (sprinkler, surface, surface-drip, and subsurface-drip) using treated wastewater, on alfalfa yield quantity and quality, was studied under semi-arid conditions. Randomized complete block design considering irrigation methods on 5 × 5 m plots replicated four times. Applied irrigation water was based on the Penman–Monteith equation using the FAO Cropwat software and accounting for the efficiencies of used irrigation systems. Surface irrigation gave the highest alfalfa fresh yield without significant difference compared to subsurface-drip. Average fresh production was 123, 120, 109, and 91 tons/h for surface, subsurface-drip, surface-drip, and sprinkler irrigation, respectively. Alfalfa fresh weight from subsurface-drip irrigation was 32 and 10% higher compared to sprinkler and surface-drip irrigation. Alfalfa dry weight from subsurface-drip irrigation was 10, 21, and 47% higher compared to surface-drip, surface, and sprinkler irrigation, respectively. N percentage in alfalfa leaves was significantly lower by 12% under subsurface-drip irrigation as compared to the other irrigation methods. Escherichia coli (E. coli) and fecal coliform (FC) were not detected on alfalfa leaves using subsurface-drip irrigation. E. coli and FC counts were high on leaves using sprinkler and surface irrigation. Subsurface-drip irrigation may be adapted as an efficient irrigation method when using non-conventional water under semi-arid conditions.
Sustainable water–ecosystem management using the Bayesian network and variable relationship analysis
Authors: Zhang Pengyu , Jia Meng , Wei Xiaojuan
Published: May 2024

Under the pressures of global climate change and human activities, the carrying capacity of water and soil resources in agricultural lands has decreased, and the traditional models of agricultural development are no longer sustainable. Land degradation, groundwater quality reduction and ecosystem instability are the consequences of agricultural development without considering sustainability indicators. This article aims to investigate the use of variable relationship analysis and Bayesian network methods to analyze and investigate the relationship between irrigation in agriculture and the sustainability of the groundwater ecosystem. Descriptive statistics of agriculture including cultivation pattern, time, precipitation, irrigation, and land slope were analyzed and combined with the simulated characteristics of groundwater including specific yield, hydraulic conductivity and hydrodynamic diffusion coefficients. Five crops of wheat, barley, paddy, alfalfa, and potato were studied to evaluate the effect of plants on the pattern of nitrate release due to irrigation and fertilization in agriculture. The results showed that managing the amount of fertilizer and the volume of irrigation can positively affect the nitrate distribution pattern in the groundwater even in a short period of time.
A combination of microbial electrolysis cells and bioaugmentation can effectively treat synthetic wastewater containing polycyclic aromatic hydrocarbon
Authors: Min Zhang , Rui Tang , Yu Li
Published: May 2024

The anaerobic biodegradation of polycyclic aromatic hydrocarbons (PAHs) is challenging due to its toxic effect on the microbes. Microbial electrolysis cells (MECs), with their excellent characteristics of anodic and cathodic biofilms, can be a viable way to enhance the biodegradation of PAHs. This work assessed different cathode materials (carbon brush and nickel foam) combined with bioaugmentation on typical PAHs-naphthalene biodegradation and analyzed the inhibition amendment mechanism of microbial biofilms in MECs. Compared with the control, the degradation efficiency of naphthalene with the nickel foam cathode supplied with bioaugmentation dosage realized a maximum removal rate of 94.5 ± 3.2%. The highest daily recovered methane yield (227 ± 2 mL/gCOD) was also found in the nickel foam cathode supplied with bioaugmentation. Moreover, the microbial analysis demonstrated the significant switch of predominant PAH-degrading microorganisms from Pseudomonas in control to norank_f_Prolixibacteraceae in MECs. Furthermore, hydrogentrophic methanogenesis prevailed in MEC reactors, which is responsible for methane production. This study proved that MEC combined with bioaugmentation could effectively alleviate the inhibition of PAH, with the nickel foam cathode obtaining the fastest recovery rate in terms of methane yield.
Niosomes as a Promising Therapeutic Approach against Colorectal Cancer: A
Focus on the Delivery of Chemotherapeutics and Natural Products
Authors: Mollazadeh Samaneh , Al-Asady Abdulridha Mohammed , Barjasteh Amirhosein , Latifi Hanieh , Avan Amir , Khazaei Majid , Ryzhikov Mikhail , Hassanian Seyed Mahdi
Published: May 2024

Nanotechnology has emerged as an effective approach to cancer treatment, including Colorectal
Cancer (CRC). While conventional treatments, such as chemotherapeutic agents, are used to manage CRC,
their efficacy can be improved using drug delivery systems that enhance their bioavailability and reduce side
effects. Niosomes, polymeric nanoparticles, have shown promise as biocompatible vehicles that can transport
hydrophilic and lipophilic molecules. This can result in reduced drug dosage and increased efficacy. This review
examines the use of niosomal formulations as a delivery platform for treating CRC and provides practical
insights into their clinical applications.
The Cell and its Molecular Constituents
Authors: Sajid Samiullah , Abdullah Imran
Published: May 2024

The cell is the basic unit of life and the fundamental building block of all
living organisms. It is a complex and dynamic structure composed of various molecular
constituents. These constituents include the plasma membrane, cytoplasm, organelles,
and genetic material. The plasma membrane is a thin, flexible layer that separates the
cell from its surroundings and regulates the movement of substances into and out of the
cell. The cytoplasm is a gel-like substance that contains various organelles, such as
mitochondria, ribosomes, and the endoplasmic reticulum, which are involved in
multiple cellular functions. The genetic material, composed of DNA and RNA,
contains instructions for synthesizing proteins, the building blocks of life. The cell and
its molecular constituents play vital roles in maintaining the organism’s integrity,
responding to environmental cues, and carrying out essential physiological functions.
Understanding the organization and function of these molecular constituents is crucial
for advancing our knowledge of biology and developing new therapies for various
diseases.
Molecular Biology of Sports
Authors: Sajid Sanaullah
Published: May 2024

Molecular biology of sports is a rapidly evolving field that investigates the
relationship between genetic and molecular factors and athletic performance. Research
in this area aims to identify genes and molecules influencing physical traits such as
strength, endurance, and speed. By understanding the underlying biology of athletic
performance, scientists can develop new approaches to improve athletic training, injury
prevention, and rehabilitation. The study of molecular biology in sports also provides
insights into the relationship between genetics and lifestyle factors, such as diet and
exercise, that affect overall health and well-being. This abstract will provide an
overview of the current state of research in molecular biology of sports, including
recent advances in genomics, transcriptomics, proteomics, and metabolomics, and how
these techniques are applied to sports science.
Molecular Basis of Cancer
Authors: Sarfraz Maliha , Hayat Ullah
Published: May 2024

 Cancer is a disease that arises from the uncontrolled growth of cells due to
genetic mutations and epigenetic changes. Molecular biology has provided valuable
insights into cancer development and progression mechanisms. Cancer cells have
alterations in the genes that regulate cell growth, division, and death, leading to the
accumulation of mutations that confer a survival advantage. Oncogenes promote cell
growth and division, while tumour suppressor genes inhibit cell proliferation and
induce cell death. Alterations in these genes and changes in DNA methylation and
histone modifications lead to the dysregulation of cell signalling pathways, which
contribute to cancer development. In addition, the tumour microenvironment plays a
critical role in cancer progression by providing growth factors, cytokines, and
extracellular matrix components that promote tumour growth and invasion. Molecular
biology techniques such as DNA sequencing, gene expression profiling, and epigenetic
analysis have facilitated the identification of driver mutations and key molecular
pathways involved in cancer development, leading to targeted therapies that exploit
these vulnerabilities. Understanding the molecular basis of cancer can revolutionize
cancer diagnosis, treatment, and prevention.
The impact of motivation on mathematics achievement of Saudi students using structure equation method and mediation analysis
Authors:   Department of Statistics, King Abdulaziz University, Jeddah, Saudi Arabia, Alsaggaf Ibtesam Ali , Abdulgabar Nahlah ,   Department of Statistics, King Abdulaziz University, Jeddah, Saudi Arabia
Published: May 2024

This study focuses on the decline in math scores among fourth-grade students in Saudi Arabia, which is a significant concern. The Saudi Arabian Ministry of Education is taking steps to improve education and provide students with the necessary skills for their future careers. Understanding what affects student achievement is key to solving this problem. Motivation in education is a critical factor that influences students' attitudes and their success in school. This research looks at how academic motivation affects educational success through a process called mediation analysis. It considers how self-concept and values, which come from motivation, play a role. The study uses the expectancy-value theory of achievement motivation to create a model that explores how motivation and other factors like school bullying, feeling connected to school, and perceptions of teachers interact and affect each other. Mediation analysis helps examine the direct and indirect effects these factors have on student achievement. Data from the trends in international mathematics and science study (TIMSS) for fourth graders in Saudi Arabia is used to see if the theory fits with the experiences of Saudi students. The findings show that self-confidence is crucial for academic performance, affecting students' motivation, readiness to face challenges, and overall learning attitude. However, math attitude does not directly influence self-concept. School bullying is identified as a significant negative factor in math achievement. These outcomes stress the need to address school bullying to improve math scores and highlight the importance of self-concept and motivation in boosting academic success.