Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Organizational Behavior in Creating Professional Human Resources

the purpose of this study is to find out in-depth information about the management of organizational behavior at Madrasah Tsanawiyah (MTs) Miftahul Ulum Al Azizah Sumberbaru Jember in 2022/2023 which is oriented towards creating professional human resources. In detail, the objectives of this study are described in the research focus including: 1). Describe the management of madrasah organizational behavior at MTs Mifathul Ulum Al- Azizah Year 2022/2023 in creating professional human resources , 2) Analyzing obstacles and solutions in the management of madrasah organizational behavior at MTs Mifathul Ulum Al- Azizah Year 2022/2023 in creating professional HR . The research method uses a qualitative approach with the research subject being the head of the madrasa and supported by teachers, students, deputy head of curriculum and school supervisors as informants. Data collection methods using observation, interviews and documentation as well as triangulation are still used as a foundation in seeking data validity. The results of this study reveal that 1). organizational behavior management of MTs Mifathul Ulum Al- Azizah Year 2022/2023 in creating professional HR is designed with several stages namely First, Planning which includes analyzing all activities or capacity activities intellectual , capability, work experience and exemplary. Second, Recruitment which includes prioritizing academic achievement, having good character and making achievement and professionalism a benchmark. Third, Development which includes scheduling training , workshops and training if necessary to increase the standard of ability or skills. Fourth, supervision which includes scheduled inspections of all madrasah resources. Fifth, evaluations that carry out scheduled reviews through monthly, midterm , end of semester or end of learning. 2) Barriers to Organizational Behavior Management at MTs Mifathul Ulum Al- Azizah Year 2022/2023 include teaching staff not meeting what is needed, not graduates from teacher education, teachers who have taught not according to their fields, lack of supervision, lack of capacity building, and lack of evaluation. Solution; recruitment management with academic and non-academic selection, development of training teachers, workshops, supervision and attention to the organization.
Estimation of Nuclear Mass Formulas Coefficients Using Least-Squares Method Based on Gauss-Seidel Scheme: A Comparative Study Between Three Models

This paper presents the analysis and implementation of the least-squares method based on the Gauss-Seidel scheme for solving nuclear mass formulas. The least-squares method leads to the solution of the system by iterations. The main advantages of the discussed method are simplicity and high accuracy. Moreover, the method enables us to process large data quickly in practice. To demonstrate the effectiveness of the method, implementation using the FORTRAN language is carried out. The steps of the algorithm are detailed. Using 2331 nuclear masses with Z ≥ 8 and N ≥ 8, it was shown that the performance of the liquid drop mass formula with six parameters improved in terms of root mean square (r.m.s. deviation equals 1.28 MeV), compared to the formula of liquid drop mass with six parameters without microscopic energy, deformation energy and congruence energy (r.m.s. deviation equals 2.65 MeV). The nuclear liquid drop model is revisited to make explicit the role of the microscopic corrections (shell and pairing). Deformation energy and the congruence energy estimate have been used to obtain the best fit. It is shown that the performance of the new approach is improved by a model of eight parameters, compared to the previous model of six parameters. The obtained r.m.s. result for the new liquid drop model in terms of masses is equal to 1.05 MeV.
Equine chorionic gonadotropin treatment and timed artificial insemination for dairy cow production under heat stress

This study investigated the effects of timed artificial insemination (TAI) and equine chorionic gonadotropin (eCG) administration on lactating dairy cows under heat-stress conditions (average temperature-humidity index: 80). Timed artificial insemination was performed on the cows with (n = 57) or without (control, n = 41) supplementation with 500 IU of eCG at the day of PGF2α treatment using the CIDR-Ovsynch protocol. GnRH was administered, and a progesterone device (CIDR) was inserted on Day −10 of the treatment protocol. The CIDR was removed on Day −3, and the cows were treated with PGF2α. Two days later, a 2nd GnRH injection was administered. Subsequently, AI was performed on Day 0 (16–20 h after the 2nd GnRH injection), and pregnancy was diagnosed on Days 32 and 60. Plasma progesterone (P4) concentrations were measured after AI. Results showed that the eCG group had a higher pregnancy per AI (P/AI) than the control group (43.9 vs. 12.2%, P = 0.002), which was also accompanied by elevated P4 levels. Four cows in the eCG group had multiple calves, representing 7.0 and 16.0% of the group and pregnant cows, respectively. In conclusion, 500 IU of eCG combined with CIDR-Ovsynch in lactating dairy cows under severe heat stress conditions successfully improved fertility. However, the protocol may have a slight risk of multiple births.
Crosstalk between vitamin status and gut microbiota: The key to maintaining immune homeostasis in the gut

The human gut microbiota is a diverse ecosystem that harbours a variety of microorganisms, including proteobacteria, bacteria, viruses, fungi, protists, and archaea. These microorganisms are collectively involved in several vital functions, including nutrient metabolism, vitamin synthesis, immune system regulation, neurotransmitter production, drug metabolism, and communication with the central nervous system. Dysbiosis within the gut microbiota has been shown to be a critical factor in the development of chronic disease. Investigating the effects of gut microbiota composition on overall health holds promise for the treatment of inflammatory diseases and the development of new therapeutic interventions. One notable aspect of the functionality of the gut microbiota is its involvement in the production of essential B vitamins. These vitamins exert a significant influence on immune responses and the composition of the gut microbiota. Competition may occur between the host and the gut microbiota for B vitamins, which some bacteria obtain from food or from synthesis by other gut bacteria. Thus, the availability of B vitamins in the diet has the potential to influence the composition of the gut microbiota and thus immune homeostasis. The profile of the gut microbiota varies individually, with diet proving to be an important modulator of both its composition and functional properties. However, further extensive research efforts are needed to understand the complex interplay between the gut microbiota, vitamins, and immune response mechanisms. Such investigations have the potential to develop innovative therapeutic strategies for a spectrum of inflammatory diseases, opening new avenues for improved patient outcomes.
A new vertebrate species native to the British isles: Bufo spinosus Daudin, 1803 in Jersey

Fieldwork and sampling in Jersey was conducted under licence from the States of Jersey Environment Department and with support from Amphibian and Reptile Conservation. Other funds were provided by grants CGL2008-04271-C02-01/BOS and CGL2011-28300 (Ministerio de Ciencia e Innovacion, Ministerio de Economia y Competitividad, Spain, and FEDER) and PPII10-0097- 4200 (Junta de Comunidades de Castilla la Mancha and FEDER) to IMS, who is currently funded by Project “Biodiversity, Ecology and Global Change”, co-financed by North Portugal Regional Operational Programme 2007/2013 (ON.2–O Novo Norte), under the National Strategic Reference Framework (NSRF), through the European Regional Development Fund (ERDF).
Explicit scheme based on integral transforms for estimation of source terms in diffusion problems in heterogeneous media

The estimation of source terms present in differential equations has various applications, ranging from structural assessment, industrial process monitoring, equipment failure detection, environmental pollution source detection to identification applications in medicine. Significant progress has been made in recent years in methodologies capable of estimating this parameter. This work employs a methodology based on an explicit formulation of the integral transformation to characterize the unknown source term, reconstructing it through the expansion in known eigenfunctions of the Sturm-Liouville eigenvalue problem. To achieve this, a linear model is considered in a heterogeneous medium with known and spatially varying physical properties and two heat sources, with both temporal and spatial dependencies, and only spatial dependence. The eigenvalue problem contains information about the heterogeneous properties and is solved using the generalized integral transformation technique. Additionally, an initial interpolation of the sensor data is proposed for each observation time, making the inverse problem computationally lighter. The solutions of the inverse problem exhibit optimal performance, even with noisy input data and sources with abrupt discontinuities. The temperatures recovered by the direct problem considering the recovered source closely match synthetic experimental data, showing errors less than 1%, ensuring the robustness and reliability of the technique for the proposed application.
A Study of University Students of Peshawar Region KPK Pakistan. Consumer Attitude Towards Mineral Water

The concept and trend towards mineral water is slowly and gradual developing in devolving areas so it is important to find that what are the factors which contribute more towards the usage of mineral water. The aim of this research was to investigate the impact of factors affecting consumer attitude towards mineral water in Peshawar region. For the purpose the private university student were targeted to find that what are the factors for their attitude building towards mineral water in Peshawar Pakistan. In study consumer attitude is dependent upon Brand, Availability, Price, Quality, Packaging and Promotion. A sample size of 200 hundred individuals were used in the study. For the analysis part of study hypothesis were developed and regression and correlation analysis was used. The study revealed that all factors have a significant relationship with consumer attitude. But among all these variables study shows that brand and availability has greater influence on consumer attitude in comparison of other variables. Key Words: Consumer Attitude, Availability, Brand, Price, Quality, Packaging and Promotion
Choosing Appropriate Candidates for Left Atrial Appendage Occlusion

Atrial fibrillation (AF) is one the most prevalent arrhythmias globally and is associated with a significantly higher risk of morbidity and mortality, including an up to five-fold increase in risk of stroke. While oral anticoagulation therapy remains the standard approach for stroke prevention in nonvalvular AF, left atrial appendage occlusion (LAAO) has emerged as a viable alternative for patients who are intolerant to long-term oral anticoagulation therapy. However, selecting appropriate candidates for LAAO requires a comprehensive evaluation that considers various clinical factors, although this presents a challenge in clinical practice. This review aims to provide an overview of the current recommendations for patient selection in LAAO procedures and the key factors that need to be considered both before and after the procedure, as well as the ongoing advancements in this field that may facilitate the selection of patients for LAAO.
Relations hydriques dans un épicéa (Picea abies L.) en conditions naturelles: variations spatiales

La conductance stomatique a montre une variabilite spatiale tres importante dans le houppier; les potentiels hydriques montrent une stratification nette liee a la hauteur dans l'arbre. Les mesures de flux de seve dans les branches font apparaitre la contribution majeure de la moitie superieure de la couronne de l'arbre qui assure environ les 3/4 de la transpiration journaliere. Grâce aux relations experimentales journalieres entre les flux et potentiels hydriques, on a pu calculer la resistance hydraulique suivant differents trajets dans l'arbre; il ressort que la resistance au transfert de l'eau entre le sol et les rameaux de l'arbre est constituee pour moitie par la resistance sur le trajet sol→base de la couronne vivante
Pumping and sliding of droplets steered by a hydrogel pattern for atmospheric water harvesting

ABSTRACT Atmospheric water harvesting is an emerging strategy for decentralized and potable water supplies. However, water nucleation and microdroplet coalescence on condensing surfaces often result in surface flooding owing to the lack of a sufficient directional driving force for shedding. Herein, inspired by the fascinating properties of lizards and catfish, we present a condensing surface with engineered hydrogel patterns that enable rapid and sustainable water harvesting through the directional pumping and drag-reduced sliding of water droplets. The movement of microscale condensed droplets is synergistically driven by the surface energy gradient and difference in Laplace pressure induced by the arch hydrogel patterns. Meanwhile, the superhydrophilic hydrogel surface can strongly bond inner-layer water molecules to form a lubricant film that reduces drag and facilitates the sliding of droplets off the condensing surface. Thus, this strategy is promising for various water purification techniques based on liquid–vapor phase-change processes.
ORIGIN OF FOSSIL ROCK GLACIERS, LA SAL MOUNTAINS, UTAH

Several lobes of blocky colluvium mantle northwest-facing slopes of the La Sal Mountains, Utah. The features are peculiar because they exist at a relatively low altitude compared to most other talus deposits of similar form, and they lack a noticeable source area. Furthermore, transverse ridge and furrow structures on their upper surfaces strongly suggest that some type of flow mechanism was involved in their genesis. A deductive approach is used to determine the most likely scenario surrounding the formation of one of these lobes. Several alternative scenarios are presented and evaluated in light of available evidence. Evidence consists of surface morphology, subsurface geology, stratigraphic relationships, present and past climatic conditions, and fabric analysis. The lobe was compared to other similar types of deposits, and we conclude that it is a fossil permafrost-derived rock glacier. There is also support for snow avalanching as an important process in its initial formation. [Key words: colluvium, .
Scavenging of Cation Radicals of the Visual Cycle Retinoids by Lutein, Zeaxanthin, Taurine, and Melanin

In the retina, retinoids involved in vision are under constant threat of oxidation, and their oxidation products exhibit deleterious properties. Using pulse radiolysis, this study determined that the bimolecular rate constants of scavenging cation radicals of retinoids by taurine are smaller than 2 × 107 M−1s−1 whereas lutein scavenges cation radicals of all three retinoids with the bimolecular rate constants approach the diffusion-controlled limits, while zeaxanthin is only 1.4–1.6-fold less effective. Despite that lutein exhibits greater scavenging rate constants of retinoid cation radicals than other antioxidants, the greater concentrations of ascorbate in the retina suggest that ascorbate may be the main protectant of all visual cycle retinoids from oxidative degradation, while α-tocopherol may play a substantial role in the protection of retinaldehyde but is relatively inefficient in the protection of retinol or retinyl palmitate. While the protection of retinoids by lutein and zeaxanthin appears inefficient in the retinal periphery, it can be quite substantial in the macula. Although the determined rate constants of scavenging the cation radicals of retinol and retinaldehyde by dopa-melanin are relatively small, the high concentration of melanin in the RPE melanosomes suggests they can be scavenged if they are in proximity to melanin-containing pigment granules.
Multi-kernel driven 3D convolutional neural network for automated detection of lung nodules in chest CT scans

The accurate position detection of lung nodules is crucial in early chest computed tomography (CT)-based lung cancer screening, which helps to improve the survival rate of patients. Deep learning methodologies have shown impressive feature extraction ability in the CT image analysis task, but it is still a challenge to develop a robust nodule detection model due to the salient morphological heterogeneity of nodules and complex surrounding environment. In this study, a multi-kernel driven 3D convolutional neural network (MK-3DCNN) is proposed for computerized nodule detection in CT scans. In the MK-3DCNN, a residual learning-based encoder-decoder architecture is introduced to employ the multi-layer features of the deep model. Considering the various nodule sizes and shapes, a multi-kernel joint learning block is developed to capture 3D multi-scale spatial information of nodule CT images, and this is conducive to improving nodule detection performance. Furthermore, a multi-mode mixed pooling strategy is designed to replace the conventional single-mode pooling manner, and it reasonably integrates the max pooling, average pooling, and center cropping pooling operations to obtain more comprehensive nodule descriptions from complicated CT images. Experimental results on the public dataset LUNA16 illustrate that the proposed MK-3DCNN method achieves more competitive nodule detection performance compared to some state-of-the-art algorithms. The results on our constructed clinical dataset CQUCH-LND indicate that the MK-3DCNN has a good prospect in clinical practice.
The Application of Geometry in Leonardo’s Works: Take the Annunciation for Example

There is a close connection between geometry and art. Since mathematicians discovered the Golden Ratio, it has been widely used in painting, design, architecture, and other fields. In the development of perspective, the mathematical principles explored by geometry played a very important role. This research uses observation and literature research methods to analyze Leonardo Da Vinci's Annunciation. The research proves that Leonardo's Annunciation used the Golden Ratio in composition and perspective in completing the narrative of the painting. In the end, the study demonstrates the impact of the application of geometry to art during the Renaissance. For paintings, the application of the Golden Ratio and perspective can produce a sense of time and space, showing the environment and process of events. For geometry, geometry application shows the geometry of the achievements in art, expanding the application field of geometry. In addition, the application of geometry also makes painting a special existence that is different from words.
Bisphosphonates as Radiopharmaceuticals: Spotlight on the Development and Clinical Use of DOTAZOL in Diagnostics and Palliative Radionuclide Therapy

Bisphosphonates are therapeutic agents that have been used for almost five decades in the treatment of various bone diseases, such as osteoporosis, Paget disease and prevention of osseous complications in cancer patients. In nuclear medicine, simple bisphosphonates such as 99mTc-radiolabelled oxidronate and medronate remain first-line bone scintigraphic imaging agents for both oncology and non-oncology indications. In line with the growing interest in theranostic molecules, bifunctional bisphosphonates bearing a chelating moiety capable of complexing a variety of radiometals were designed. Among them, DOTA-conjugated zoledronate (DOTAZOL) emerged as an ideal derivative for both PET imaging (when radiolabeled with 68Ga) and management of bone metastases from various types of cancer (when radiolabeled with 177Lu). In this context, this report provides an overview of the main medicinal chemistry aspects concerning bisphosphonates, discussing their roles in molecular oncology imaging and targeted radionuclide therapy with a particular focus on bifunctional bisphosphonates. Particular attention is also paid to the development of DOTAZOL, with emphasis on the radiochemistry and quality control aspects of its preparation, before outlining the preclinical and clinical data obtained so far with this radiopharmaceutical candidate.
Effectiveness of Functional Mandibular Advancer in Patients with Class II Malocclusion: A Systematic Review and Meta-analysis

Objective: We aimed to evaluate the effectiveness of functional mandibular advancer (FMA) in treating growing patients with Class II malocclusion. Methods: Electronic searches were conducted in MEDLINE (via PubMed), Cochrane Library, Web of Science, Scopus, Embase, and Lilacs from 1945 to 30th November 2021. Studies were selected based on the following inclusion criteria: human studies, Class II growing patient treated with FMA, untreated control group or a comparable group treated with another fixed functional appliance, pre- and post-treatment lateral cephalograms/magnetic resonance imaging/cone-beam computed tomography, randomized clinical trials, prospective studies, and retrospective studies. Data extraction of the included articles was independently performed independently by two authors. The risk of bias was assessed using the ROBINS-I tool. Meta-analysis was performed using the inverse generic model. Results: Seven articles met the criteria and were included in the systematic review and three articles were included in the meta-analysis. Three studies had at low risk of bias and four studies had a moderate risk of bias. All articles reported anterior positioning of the mandible along with an increase in mandibular length. The meta-analysis results indicated a negligible difference between FMA and other functional appliances for the parameters SNA [0.11, 95% confidence interval (CI) of -1.07 and 1.29] and ANB (-1.00, 95% CI of -1.34 and -0.65). The evidence was limited for soft tissue changes. Conclusion: Class II correction with FMA involved a combination of skeletal and dentoalveolar changes and was similar to other fixed functional appliances.
Modelling Porosity of Sand Deposits Consisting of Angular Grains

This paper describes the use of a Combined Finite-Discrete Element method (FEMDEM) approach to model the porosity of sand deposits consisting of angular grains. The aim of this work is to establish the relationships governing the dependency of porosity on particle size, shape, and friction coefficient for angular sand grains deposited under gravitational force. The 3D FEMDEM code used in this work has the capability to tackle the dynamics of angular-shaped geometries. In FEMDEM, each particle is represented by a single discrete element. The interaction and the motion of individual particles are captured using the discrete element method. Each discrete element has its own finite element mesh for capturing its deformability. The tetrahedron was selected as the simplest angular particle form as all other shapes can easily be viewed as a combination of several tetrahedra. Experimental results demonstrated that the friction coefficient and particle geometry significantly affected the resulting porosity. In addition, the friction coefficient had greater effect on porosity in tetrahedra packing than that of sphere packing. However, these relationships are not straight forward, and it is difficult to develop empirical prediction models for particles of arbitrary shapes. We therefore suggest applying the presented FEMDEM framework to construct packs of real sand grain shapes and to use both idealised shape and real shape in numerical experiments to further our understanding of porosity in deposited and compacted sandstone reservoirs. Alternatively, the packs of real sand grain shapes created using the presented framework could directly be used to estimate porosity and permeability using available state of the art techniques.