bluuebunny/crossref_metadata_2025 huggingface dataset:
Machine Learning Models for Ultrafine Particles in Copenhagen, Denmark
Authors: Amini Heresh
Published: May 2023

Long-term mean ambient particle size (PS) in the ultrafine particle (UFP) range (< 100 nm) varies over space within cities, with locations near UFP sources having smaller PS. Spatial models for PS and lung deposited surface area (LDSA) within urban areas are limited. We collected particle number concentration (PNC), LDSA, and PS data over one-year monitoring campaign from May 2021 to May 2022 across 27 locations and estimated annual mean in Copenhagen, Denmark, and obtained additionally annual mean PNC data from 5 curbside monitors within the city. We developed 94 predictor variables (majority at 1 m spatial resolution (90%)), and machine learning models (random forest and bagged tree) were developed for PNC, LDSA, and PS. The annual mean PNC, LDSA, and PS were, respectively, 5,416 pt/cm3, 12.0 µm2/cm3, and 46.1 nm. The cross-validation R2values (10-fold repeated 10-times) were 0.70, 0.67, and 0.60 for PNC, LDSA, and PS, respectively. Traffic-related variables, such as streets below/above specific speed-limits, and length of major roads within buffers of 100–150 m, amongst others, were strong predictors. External validation with high-quality data is warranted to ensure good performance of these models. These UFP predictions may assist urban planners, environmental justice studies, or epidemiologists conducting population-based studies.
On new methods for measuring and identifying dust microparticles in ambient air
Authors:   Perm National Research Polytechnic University, 29 Komsomolskiy Ave., Perm, 614990, Russian Federation, Kokoulin А.N. , May I.V. ,   Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 82 Monastyrskaya Str., Perm, 6140045, Russian Federation, Zagorodnov S.Yu. ,   Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 82 Monastyrskaya Str., Perm, 6140045, Russian Federation, Yuzhakov А.А ,   Perm National Research Polytechnic University, 29 Komsomolskiy Ave., Perm, 614990, Russian Federation
Published: May 2023

Established health hazards posed by dust microparticles require automated and mobile devices for their assessment. Such devices should provide an opportunity to analyze component and disperse structures of the solid component in ambient air pollution operatively and in real time. In future, they will replace labor-consuming sampling and separate identification of fraction structure and chemical composition of dusts. The aim of this study was to develop and test new methodical, procedural and instrumental approaches to monitoring of solid particles in ambient air. We suggest a hardware and software complex that implements a two-stage scheme for identifying solid particles sampled in ambient air according to the from-coarse-to-fine principle. The first stage involves identifying the total concentration of solid particles by laser diffraction. Microphotographs are taken with iMicro Q2 mini portable microscope with magnification x800. The microscope lens is connected to a camera, which is linked to nVidia Jetson Nano micro PC. The micro PC classifies particles, identifies their contours by using a neural network and deals with image segmentation. The second stage relies on using computer vision that makes it possible to automate routine recognition of particle images created by the microscope in order to calculate levels of different substances in a sample. All the data are analyzed by the second neural network that performs preset calculations in accordance with mathematical logic (model). The network is trained using a library that contains attributed microphotographs of dusts with different qualitative and disperse structures. The algorithm has been tested with some promising results. Identified disperse structures and chemical composition of dusts turn out to be quite similar to those identified by conventional approaches and measurement methods. The method has been shown to offer wide opportunities to identify dust composition and structure, to create dust pollution profiles, and to estimate a contribution made by a specific source to overall pollution. The study results ensure more correct and precise health risk assessment under exposure to dusts in ambient air.
A Dual Leucine-rich Repeat in Proteins from the Eukaryotic SAR Group
Authors: Matsushima Norio , Batkhishig Dashdavaa , Enkhbayar Purevjav , Kretsinger Robert H.
Published: May 2023

Background:

Leucine-rich repeats (LRRs) occurring in tandem are 20 ⎼ 29 amino acids
long. Eleven LRR types have been recognized; they include plant-specific (PS) type with the
consensus of LxxLxLxxNxL SGxIPxxIxxLxx of 24 residues and SDS22-like type with the consensus
of LxxLxLxxNxL xxIxxIxxLxx of 22 residues.

Objective:

A viral LRR protein in metagenome data indicated that most of the LRRs (5/6 = 0.83) are
represented by the consensus of LxxLDLxxTxV SGKLSDLxxLTN of 23 residues. This LRR shows a
dual characteristic of PS and SDS22-like LRRs (called PS/SDS22-like LRR). A comprehensive
similarity search was performed under the hypothesis that many proteins contain LRR domains
consisting of only or mainly PS/SDS22-like LRR.

Methods:

Sequence similarity search by the FASTA and BLAST programs was performed using the
sequence of this PS/SDS22-like LRR domain as a query sequence. The presence of PS/SDS22-like
LRR was screened within the LRR domains in known structures.

Results:

Over 280 LRR proteins were identified from protists, fungi, and bacteria; ~ 40% come from
the SAR group (the phyla Alveolate and Stramenopiles). The secondary structure analysis of
PS/SDS22-like LRRs occurring sporadically in the known structures indicates three or four type
patterns of secondary structures.

Conclusion:

PS/SDS22-like LRR forms an LRR class with PS, SDS22-like and Leptospira-like LRRs.
It appears that PS/SDS22-like LRR is a chameleon-like sequence. A duality of two LRR types brings
diversity.
Transition Metal-Free Catalyzed Oxidative Coupling of Anilines to Azo Compounds
and Thiophenols to Disulfides
Authors: Yadav Vikas , Ghosh Mitushree , Prasad Virendra
Published: May 2023

Introduction::

Herein we report the efficient oxidative transformations of aryl amines to
azoarenes and aryl thiols to the corresponding disulfides using diacetoxyiodobenzene and potassium iodide
as transition metal-free catalysts in acetonitrile at room temperature. The developed protocols are highly
efficient and employ readily accessible, inexpensive, and environmentally friendly starting

Methods::

All the reactions were carried out in a fuming hood at room temperature (approximately 25-
30°C). The chemicals used in these reactions were purchased from Avra, Aldrich and Spectrochem with a
minimum of 95-99% purities and used without further purification.

Results::

The reaction of DIB with KI would generate PhI(OAc)I through a partial AcO-I exchange process,
and the subsequent reaction of 2PhI(OAc)I with aromatic amines should produce PhNI2 on the elimination
of 2AcOH and 2PhI.

Conclusion::

The protocol was applicable to a wide range of aromatic amines and aromatic thiols under mild reaction conditions
and has no safety concerns, requires inexpensive chemicals and is environmentally friendly.
Bacteriophage Cocktail Can Effectively Control Salmonella Biofilm on
Gallstone and Tooth Surfaces
Authors: Var Işil , AlMatar Manaf , Heshmati Behzad , Albarri Osman
Published: May 2023

Introduction:

Salmonellosis, which is typically distinguished by an immediate onset of
fever, abdominal pain, diarrhea, nausea, and vomiting, is a bacterial infection caused by Salmonella.
The rising incidence of antibiotic resistance in Salmonella Typhimurium is a major worldwide
problem, and a better knowledge of the distribution of antibiotic resistance patterns in Salmonella
Typhimurium is critical for selecting the best antibiotic for infection treatment. In this work, the efficiency
of bacteriophage therapy of vegetative cells and biofilms of S. Typhimurium was investigated.

Methods:

Based on their host ranges, five Bacteriophages were chosen for therapy against 22 Salmonella
isolates collected from various sources. PSCs1, PSDs1, PSCs2, PSSr1, and PSMc1 phages
were found to exhibit potent anti-S. Typhimurium properties. In a 96-well microplate, the efficacy
of bacteriophage therapy (105-1011 PFU/mL) against S. Typhimurium biofilm formers was first tested.
A bacteriophage treatment (109 PFU/mL) was subsequently applied in the laboratory for 24
hours to minimize Salmonella adhering to the surfaces of gallstones and teeth. In 96-well microplate
experiments, bacteriophage treatment inhibited biofilm development and reduced biofilm by
up to 63.6% (P ≤ 0.05).

Result:

When compared to controls, bacteriophages (PSCs1, PSDs1, PSCs2, PSSr1, PSMc1) demonstrated
a rapid drop in the populations of S. Typhimurium biofilms generated on the surfaces of
gallstones and teeth where the structure of the Salmonella bacteria in the biofilm was broken and
holes were created.

Conclusion:

Clearly, this study indicated that phages might be employed to eliminate S. Typhimurium
biofilms on gallstone and tooth surfaces.
Effect of Low-calorie Sweeteners on Sensory, Physicochemical, and
Quality Attributes of Goldenberry (Physalis peruviana L.) Juice
Authors: Acurio Arcos Liliana Patricia , Valencia Toapanta Maria Fernanda , Pacheco Tigselema María Teresa , Teneda Llerena William Fabian
Published: May 2023

Background:

The goldenberry is a fruit that grows in the Andean valleys of Ecuador and
Peru. The goldenberry has a high nutritional value, thanks to the presence of ascorbic acid, carotenoids,
and total phenols. Also, this fruit has shown the ability to attenuate hepatorenal injuries, antidiabetic
and antihypertensive effects, and hepatoprotective effects.

Objective:

The work aimed to take advantage of the nutritional and medicinal properties of the
goldenberry (Physalis peruviana L.) by developing a juice substituting sucrose for low-calorie
sweeteners. Also, this study evaluated the effect of these sweeteners on sensory, physicochemical,
and quality of juice attributes.

Methods:

Different formulations were tested, varying the percentage of pulp, sweeteners (sucrose,
sucralose, and acesulfame K), and stabilizer (xanthan gum). The formulations were subjected to
sensory analysis using 48 semi-trained tasters. The acidity, pH, soluble solids, and density were
analyzed using the methodology described in Ecuadorian standards. In addition, the nutritional and
microbiological quality was analyzed, and a shelf-life study was carried out under normal and accelerated
conditions.

Results:

The best formulation was elaborated with 30% goldenberry pulp, 0.016% acesulfame K,
0.0054% sucralose, and 0.1% xanthan gum. The best formulation showed 0.3% of protein, 0.3% of
ash, 4% of carbohydrates, and 35 mg/100 g of vitamin C. Consumption of 500 ml of the beverage
provided 17 Kcal. It can be preserved for 2.5, 1.6, and 0.8 months at 8, 20, and 35ºC storage temperatures,
respectively.

Conclusion:

The best formulation scored better in odor and general acceptability attributes. Also,
this formulation showed a synergistic effect between the fruit components and the low-calorie
sweeteners, generating an effect that intensifies the sensory fruity aroma.
Current Concepts of Pain Pathways: A Brief Review of Anatomy, Physiology,
and Medical Imaging
Authors: Gonzalez-Hermosillo Daisy-Carolina , Gonzalez-Hermosillo Leslie-Marisol , Villaseñor-Almaraz Moises , Ballesteros-Herrera Daniel , Moreno-Jimenez Sergio , Corona-Cedillo Roberto , Velasco-Campos Francisco , Carrillo-Ruiz Jose-Damian , Roldan-Valadez Ernesto
Published: May 2023

Background:

Although the essential components of pain pathways have been identified, a thorough comprehension of the interactions necessary for creating focused treatments is still lacking. Such include more standardised methods for measuring pain in clinical and preclinical studies and more representative study populations.

Objective:

This review describes the essential neuroanatomy and neurophysiology of pain nociception and its relation with currently available neuroimaging methods focused on health professionals responsible for treating pain.

Methods:

Conduct a PubMed search of pain pathways using pain-related search terms, selecting the most relevant and updated information.

Results:

Current reviews of pain highlight the importance of their study in different areas from the cellular level, pain types, neuronal plasticity, ascending, descending, and integration pathways to their clinical evaluation and neuroimaging. Advanced neuroimaging techniques such as fMRI, PET, and MEG are used to better understand the neural mechanisms underlying pain processing and identify potential targets for pain therapy.

Conclusions:

The study of pain pathways and neuroimaging methods allows physicians to evaluate and facilitate decision-making related to the pathologies that cause chronic pain. Some identifiable issues include a better understanding of the relationship between pain and mental health, developing more effective interventions for chronic pain's psychological and emotional aspects, and better integrating data from different neuroimaging modalities for the clinical efficacy of new pain therapies.
Current Status of Patent Research on Picking End Effector
Authors: Wu Xilong , Xie Baocheng
Published: May 2023

Background:

Fruit and vegetable picking, as the most important part of fruit and vegetable
production, is a labor-intensive industry. Fruit and vegetable picking robots can effectively improve
the efficiency of picking and reduce labor requirements. As the most important part of the
picking robot, the picking end-effector effectively plays a key role in improving the picking efficiency
and ensuring the wholeness of the fruit. Therefore, the development trend of picking end effectors
has received more and more attention.

Objective:

The study aimed to solve the problems of high labor consumption and low picking efficiency
of manual picking; thus, the grasping method of the picking end effector has been continuously
improved.

Methods:

This article has presented various representative patents related to the picking end effector,
such as the suction end effector, multi-finger end effector, and bionic end effector.

Results:

Through the investigation of a large number of picking end effector patents, the current
problems, such as low accuracy and large clamping damage, are summarized and analyzed. In addition,
the future trends of fruit and vegetable picking end effectors are discussed.

Conclusion:

The optimization of the picking end effector is conducive to reducing manual labor and
improving the picking rate of fruits and vegetables. More relevant patents will be invented in the
future.
Determination and experimental verification of the relation between stress amplitude and vibration amplitude in the VHCF regime
Authors: Swach P.
Published: May 2023

Abstract. Fatigue tests conducted on ultrasonic machines are a relatively new testing method. The operation of test rig at a load frequency of 20 kHz and the numerical way of determining the relationship between the stress amplitude and an indirect method for determining the strain in the middle part of the sample causes researchers to feel uncertain about the stress value in the specimens. Purpose of this paper is to present experimental verification of the relationship between stress amplitude and vibration amplitude in the regime of Very High Cycle Fatigue, also the calibration procedure of the ultrasonic machine is demonstrated. The paper presents the methodology based on FEM that is used to determine the relationship between the stress amplitude in the smallest cross-section of the sample and the vibration amplitude for selected geometry.
Analysis of large deformations of long flexible bars
Authors: Ganczarski A.
Published: May 2023

Abstract. This work presents a comparison the results of the real deformation of a four-segment fly rod used to the feeder method with the results obtained from the theory and the FEM. The experiment of bending comprises preparation of the measuring path, in which the real fly rod is loaded by a series of forces subsequently changing both magnitude and inclination. The FEM model of the fly rod is based on the beam element and the variation of the cross-section is subjected to stepping approximation. The theoretical model takes advantage of the classical elliptic integral formulation applied to describe full curvature problem of long flexible bars. Dominant errors between the experimental data and numerical results come from essential difficulties in accurate measurement of the wall thickness as well as uncertainty of fibre carbon configuration.
Influence of the purlin shape on the load-bearing capacity of sandwich panels
Authors: Chuda-Kowalska M.
Published: May 2023

Abstract. This study aimed to develop knowledge about the behavior of bent, multi-span sandwich panels. The analyzed panels have a soft polyisocyanurate foam core and rigid metal facings. The paper presents the results of experimental studies. The influence of support width, the span of the panel and purlin shape on the load-bearing capacity of the panel are analyzed. The tests carried out by the author have shown that not always the load capacity determined according to the standard is on the safe side. Therefore, the actual support conditions of the designed structure should always be taken into account.
Application of digital image correlation method to assess temporalis muscle activity during unilateral cyclic loading of the human masticatory system
Authors: Pachnicz D.
Published: May 2023

Abstract. This paper presents an in vivo experimental study in which an optical digital image correlation system was used to assess the activity of the temporalis muscle. The muscle activity was analysed and assessed based on its displacements resulting from unilateral cyclic loading and unloading of a specimen placed on one side of the mandible between pairs of corresponding premolars and molars. Two sets of synchronised cameras (two per side) positioned on the working and non-working sides were used for the measurements. The results of the measurements were analysed individually for each part of the muscle, i.e. the anterior temporalis, the middle temporalis and the posterior temporalis and each side. The results indicate that the presented measurement method made it possible to determine temporalis muscle activity in vivo from displacement measurements. It also confirms the information on temporalis muscle function given by other researchers. In addition, the advantage of the presented method is that it offers significantly greater measurement capabilities (larger area of analysis) than other measurement methods, such as electromyography.
Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study
Authors: Pongdee Thanai , Larson Nicholas B , Divekar Rohit , Bielinski Suzette J , Liu Hongfang , Moon Sungrim
Published: May 2023

Background

Aspirin-exacerbated respiratory disease (AERD) is an acquired inflammatory condition characterized by the presence of asthma, chronic rhinosinusitis with nasal polyposis, and respiratory hypersensitivity reactions on ingestion of aspirin or other nonsteroidal anti-inflammatory drugs (NSAIDs). Despite AERD having a classic constellation of symptoms, the diagnosis is often overlooked, with an average of greater than 10 years between the onset of symptoms and diagnosis of AERD. Without a diagnosis, individuals will lack opportunities to receive effective treatments, such as aspirin desensitization or biologic medications.

Objective

Our aim was to develop a combined algorithm that integrates both natural language processing (NLP) and machine learning (ML) techniques to identify patients with AERD from an electronic health record (EHR).

Methods

A rule-based decision tree algorithm incorporating NLP-based features was developed using clinical documents from the EHR at Mayo Clinic. From clinical notes, using NLP techniques, 7 features were extracted that included the following: AERD, asthma, NSAID allergy, nasal polyps, chronic sinusitis, elevated urine leukotriene E4 level, and documented no-NSAID allergy. MedTagger was used to extract these 7 features from the unstructured clinical text given a set of keywords and patterns based on the chart review of 2 allergy and immunology experts for AERD. The status of each extracted feature was quantified by assigning the frequency of its occurrence in clinical documents per subject. We optimized the decision tree classifier’s hyperparameters cutoff threshold on the training set to determine the representative feature combination to discriminate AERD. We then evaluated the resulting model on the test set.

Results

The AERD algorithm, which combines NLP and ML techniques, achieved an area under the receiver operating characteristic curve score, sensitivity, and specificity of 0.86 (95% CI 0.78-0.94), 80.00 (95% CI 70.82-87.33), and 88.00 (95% CI 79.98-93.64) for the test set, respectively.

Conclusions

We developed a promising AERD algorithm that needs further refinement to improve AERD diagnosis. Continued development of NLP and ML technologies has the potential to reduce diagnostic delays for AERD and improve the health of our patients.
Investing in Women Trainees: Building a Women in Medicine Group at an Academic Institution
Authors: Zhong Lydia , Lee Koeun , Baggstrom Maria Q , Bhayani Rakhee K
Published: May 2023

Given the importance of proactively supporting women trainees in medicine to address gender inequities, we draw on the experience of a well-established professional development initiative to provide a framework for other institutions seeking to create similar trainee-focused programs.
Modal Sosial dalam Graduasi Sejahtera Mandiri Program Keluarga Harapan di Provinsi Bali
Authors: Indrasawarni Ni Luh Putu Manasaputri , Darma Gede Sri
Published: May 2023

Graduasi sejahtera mandiri merupakan fenomena keluarnya Keluarga Penerima Manfaat (KPM) dari kepesertaan Program Keluarga Harapan (PKH) secara sukarela baik atas inisiatif pribadi maupun dorongan dari pendamping. Menariknya, di saat terjadi kenaikan angka kemiskinan dan mayoritas KPM ingin tetap mempertahankan status kepesertaan PKH, masih terdapat KPM yang mampu mencapai graduasi sejahtera mandiri. Penelitian ini bertujuan untuk menganalisis faktor pendorong KPM dalam mencapai graduasi sejahtera mandiri ditinjau dari aspek modal sosial, serta menggali kendala-kendala dalam pencapaiannya, sehingga dapat dirumuskan strategi kebijakan untuk meningkatkan jumlah graduasi sejahtera mandiri PKH. Penelitian dilaksanakan di dua lokasi yaitu Desa Candikuning dan Sumerta Kaja dengan metode kualitatif deskriptif. Informan dalam penelitian ini antara lain Kepala Dinas Sosial P3A Provinsi Bali, Administrator Pangkalan Data PKH, Kepala Kewilayahan, Pendamping, dan KPM PKH. Hasil penelitian menunjukkan bahwa modal sosial berkontribusi dalam mewujudkan graduasi sejahtera mandiri PKH. Namun masih ditemukan kendala-kendala baik dari internal KPM maupun kendala eksternal seperti belum stabilnya perekonomian pasca pandemi, serta belum optimalnya program-program pemberdayaan. Berdasarkan hal tersebut, maka disusun strategi kebijakan menggunakan analisis SWOT yang menghasilkan alternatif strategi antara lain: penguatan pendamping PKH, melaksanakan program pemberdayaan yang lebih sistematis dan bekelanjutan, sinergi dengan stakeholders terkait untuk melaksanakan pelatihan kewirausahaan, mempermudah akses permodalan, serta melanjutkan program komplementer untuk mendukung stabilitas ekonomi KPM pasca pandemi.
Tingkat Morbiditas dan Mortalitas African Swine Fever pada Peternakan Rakyat di Kabupaten Manggarai Barat, Nusa Tenggara Timur, Indonesia
Authors: Rinca Korbinianus Feribertus , Nugraha Elisabeth Yulia , Febriski Bollyn Yohana Maria , Luju Maria Tarsisia , Tukan Hendrikus Demon , Utama Wigbertus Gaut
Published: May 2023

African Swine Fever (ASF) merupakan penyakit menular dengan tingkat morbiditas dan mortalitas tinggi yang menyerang ternak babi, baik ternak babi domestik maupun babi liar. Penelitian ini bertujuan untuk mengetahui tingkat mobiditas dan mortalitas African Swine Fever pada Peternakan Rakyat yang tersebar di 12 Kecamatan di Kabupaten Manggarai Barat, Nusa Tenggara Timur. Metode yang digunakan dalam penelitian ini adalah data sekunder ternak babi yang sakit dan mati akibat virus ASF. Penentuan status infeksi ASF melalui pemeriksaan sampel melalui metode polymerase chain reaction (PCR) yang dilakukan di Balai Besar Veteriner Denpasar. Hasil penelitian menunjukkan bahwa morbiditas dan mortalitas pada ternak babi yang terinfeksi ASF mengalami peningkatan dari tahun 2020 hingga 2021. Morbiditas atau tingkat kesakitan secara menyeluruh meningkat dari 1,67 % di tahun 2020 menjadi 3,86% di tahun 2021. Penyebab tingginya morbiditas ASF di Kabupaten Mangarai Barat antara lain masyarakat belum memahami penerapan biosekuriti yang ketat, sistem pemeliharaan masih secara tradisonal, populasi babi liar yang tidak teridentifikasi dan personal. Mortalitas atau tingkat kematian secara menyeluruh meningkat dari 1,36 % di tahun 2020 menjadi 3,37% di tahun 2021. Penyebab meningkatnya mortalitas antara kurangnya pengetahuan masyarakat tentang transmisi penyakit, gejala klinis penyakit, sumber infeksi penyakit, dan pencegahan penyakit. Berdasarkan hasil penelitian tersebut diatas, peningkatan kasus ASF di Kabupaten Manggarai Barat disebabkan oleh peternak itu sendiri. Oleh karena itu, Dinas Peternakan dan Kesehatan Hewan perlu melakukan edukasi dan pemberdayaan kepada peternak di Kabupaten Mangggarai Barat agar lebih memahami ASF sehingga angka morbiditas dan mortalitas menurun.
Knowledge Regarding Uterine Prolapse Among Reproductive Age Group Women of Birendranagar, Surkhet, Nepal
Authors: Giri Suman
Published: May 2023

BackgroundUterine prolapse is one of the most common causes of reproductive morbidity which influence the women quality of life. In Nepal one million women in suffer from uterine prolapse and most of them belong to the reproductive age. Uterine prolapse occurs when pelvic floor muscles and ligaments stretch and weaken until they no longer provide enough support for the uterus. As a result, the uterus slips down into or protrudes out of the vagina.ObjectivesThe main objective of this study was to assess the knowledge on uterine, prolapse among reproductive age group women in the selected community of the Birendranagar-04, Surkhet.Methods: A descriptive cross-sectional research design was selected for the study and non- probability purposive sampling technique was used to select 60 women of reproductive age group visiting selected community. Semi Structured questionnaire was used to collect data. The collected data were analyzed by using descriptive and inferential statistic through SPSS version 20.ResultThe result of the study shows knowledge level of the 50% of respondent was poor 33.3% has average level of knowledge and only 16.7% of the respondent have good knowledge. There was significant association of knowledge with education level of the respondent, family type and place of delivery whereas no significant association seen between other socio- demographic variables. Hence, education level of the respondent is contributing factors to the knowledge level regarding uterine prolapse in reproductive age women.ConclusionThe study concluded that majority of the respondents had poor knowledge regarding uterine prolapse.
Implementation of Prediction of Crop Using SVM Algorithm
Authors: Phadnis Arya
Published: May 2023

Abstract: Crop forecasting is the process of predicting the yield or production of crops for a given period based on historical data, weather and other relevant factors. The prediction can be used to inform crop planting, harvesting and marketing decisions. Machine learning and artificial intelligence techniques are increasingly being used to improve the accuracy of crop forecasting. These techniques use algorithms to analyze large amounts of data, such as weather patterns, soil conditions, and crop history, to predict future crop yields. Crop prediction models can be used by farmers, agribusinesses, and governments to optimize crop management, reduce waste and maximize profit. Accurate crop forecasting can also help mitigate the impact of climate change on agricultural production by enabling farmers to adapt to changing weather conditions and other environmental factors.
Arduino based Smart Electric Vehicle
Authors: Khan Md. Khadeer
Published: May 2023

Abstract: The field of robotics is witnessing rapid advancements, leading to their widespread integration in modern technology. The growing popularity of robots across various applications can be attributed to their efficiency and accuracy in performing tasks. This research proposes the development of a Smart Electric Vehicle (SEV) using Arduino technology. The SEV incorporates advanced functionalities, including automatic obstacle avoidance and voice command control. Powered by batteries, it integrates key components such as a PIR sensor, Ultrasonic sensor, L298N motor driver module, and HC-05 Bluetooth module. The human detection system utilizes the PIR sensor to detect human presence, triggering an alarm to alert the driver. Real-time obstacle avoidance is achieved through ultrasonic sensors that adjust the vehicle's direction to prevent collisions. The SEV further demonstrates the application of voice-controlled robotics, enabling effortless command of its movements. Control of the SEV is facilitated through an Android app, which communicates with the Arduino UNO microcontroller via the UART protocol, granting comprehensive control over its movements. This research highlights the potential of SEVs in revolutionizing transportation and logistics, offering a sustainable and eco-friendly solution while ensuring intelligence and safety. By leveraging advanced features and technologies, the Arduino-based SEV showcases the possibilities of integrating robotics into the transportation sector.
A study on perception of medical students regarding implementation of elective module in India
Authors: Vidja Kalpesh , Patel Jitendra , Patidar Harshul , Akhani Pratik , Patel Parth
Published: May 2023

As suggested by the National Medical Commission (NMC) of India recently, the elective module was implemented in our medical college for MBBS admission batch 2019. Since, this was the first of its kind implementation in our institute and across the country, we planned this study to know the perception of medical students regarding the implementation of elective module. We conducted a cross-sectional survey among MBBS students of 2019 batch. A pre-validated questionnaire was prepared by the Medical Education Unit (MEU) members of our institute using online Google form and was circulated to all via WhatsApp group and email. A total of 63 responses from medical students were included for data analysis. Majority students said that objectives of the elective module were largely met and the faculty members were very helpful and responsive, and that they actively participated in the electives. Majority of them agreed that it was a very good academic activity, the time duration was appropriate, and it provided an opportunity to show creativity and for teamwork. Most students rated the overall experience of electives as "good" and above, however they were worried about getting faculty signatures in the logbooks.
Bibliometric analysis of corporate governance: Past, present, and future research agenda
Authors: Albahsh Rana , Al-Anaswah Mohammad F.
Published: May 2023

During the 1990s and 2000s, the importance of strong corporate governance (CG) was acknowledged more widely due to the occurrence of major corporate failures. As a result, there was a greater focus on corporate responsibility, transparency, disclosure practices, and risk management to enhance accountability. Moreover, following the 2008 financial crisis, CG has become an increasingly important topic in the fields of business and economics in recent years, particularly. Despite this, there has been no comprehensive examination of the subject to date. The current study seeks to address this gap by providing a retrospective analysis of the emergence of CG in business and economics. The bibliometric methodology was used in this research involving four steps: defining the aims and scope of the study; selecting appropriate techniques for the analysis; collecting data; and running the analysis and presenting the findings. Thus, bibliometric analysis was conducted on 3126 scientific research articles, retrieved from the Scopus database, which combined the keywords of CG and economics and business to identify and map the cumulative scientific knowledge in these fields by analyzing large volumes of unstructured data in a rigorous manner and exploring the emerging areas in the fields. Co-citation and bibliometric-coupling analyses were employed to determine the thematic structure of CG research from 2008 to 2022, revealing 7 clusters of research that highlight the focus and directions of the field. VOSviewer and MS Excel software were used to analyze the data and identify the most active scientific contributors in terms of countries, institutions, sources, documents, and authors. Our analysis demonstrated an increasing publication trend in CG research from 2008 onwards, with a particular emphasis on its application in business and economics. Additionally, the top three contributors to the literature were found to be the UK, the USA, and Australia. The study outlines several potential avenues for future research that could deepen the body of knowledge in this field of CG.
Orthogonalizing q −Bernoulli Polynomials
Authors: Tuglu Naim , KUŞ SEMRA
Published: May 2023

In this study, we utilize the Gram-Schmidt orthogonalization method to
construct a new set of orthogonal polynomials called O B n ( x , q )
from the q−Bernoulli polynomials. We demonstrate the relationship
between O B n ( x , q ) polynomials and the little q−Legendre
polynomials, and derive a generalized formula for O B n ( x , q ) by
leveraging the little q−Legendre polynomials. Furthermore, we
present some properties of O B n ( x , q ) polynomials. Lastly, we
introduce a hybrid of block-pulse function and orthogonal O B n ( x , q
) polynomials and examine various properties of these polynomials.
2000 Math. Subject. Classification: 11B68, 33C45
Somatic drug profiles in patients diagnosed with major depressive disorder -- a Danish nationwide register study using Latent Class Analysis
Authors: Jensen Kristoffer Jarlov , Nielsen Anne Marie , Jeberg Pernille , Wium-Andersen Marie , Jacobsen Ramune , Almarsdóttir Anna Birna , Osler Merete , Petersen Janne
Published: May 2023

Background: Major Depressive Disorder (MDD) is a heterologous disease in
respect to clinical symptoms, severity and responsiveness to treatment,
and is often accompanied by somatic comorbidities. The objective of this
study was to identify and characterize subgroups of patients with a
first-time MDD diagnosis based on somatic drug utilization, including
socio-demographic and clinical characteristics, and psychiatric
healthcare-related outcomes. Methods: The nationwide register-based
study included all Danish patients with an incident MDD diagnosis
between 2011 and 2015. Using Latent Class Analysis (LCA), the population
was sub-grouped according to somatic drug use (drug profiles).
Sociodemographic and clinical characteristics at baseline and
odds/hazards of shift in antidepressant treatment and psychiatric
hospitalization one year after index were compared between the drug
profiles. Trajectories of drug profile membership over time was also
analyzed. Results: Of 37,080 MDD patients (mean age 41.5 years, 62%
women), the LCA identified five unique somatic drug profiles: 1) limited
drug use (74.3%), 2) drugs for pain management (7.6%), 3)
cardiovascular drugs (10.7%), 4) drugs for obstructive airway diseases
(2.3%) and 5) high drug burden (5.1%). There were large differences in
age between the drug profiles, and limited drug use profile and high
drug burden profile had lower rates of psychiatric hospitalization than
the cardiovascular drug profile. When analyzing the trajectories, we
found that the majority of the population continued in the same drug
profile during all time intervals. Conclusion: The identified five
somatic drug profiles were comparable in respect to the course of the
depression during one year following diagnosis.
National Trends in Hyperglycemia and Diabetic Ketoacidosis in Children, Adolescents, and Young Adults With Type 1 Diabetes: A Challenge Due to Age or Stage of Development, or Is New Thinking About Service Provision Needed?
Authors: Holman Naomi , Woch Emilia , Dayan Colin , Warner Justin , Robinson Holly , Young Bob , Elliott Jackie
Published: May 2023

OBJECTIVE

Adolescence is associated with high-risk hyperglycemia. This study examines the phenomenon in a life course context.

RESEARCH DESIGN AND METHODS

A total of 93,125 people with type 1 diabetes aged 5 to 30 years were identified from the National Diabetes Audit and/or the National Paediatric Diabetes Audit for England and Wales for 2017/2018–2019/2020. For each audit year, the latest HbA1c and hospital admissions for diabetic ketoacidosis (DKA) were identified. Data were analyzed in sequential cohorts by year of age.

RESULTS

In childhood, unreported HbA1c measurement is uncommon; however, for 19-year-olds, it increases to 22.3% for men and 17.3% for women, and then reduces to 17.9% and 13.1%, respectively, for 30-year-olds. Median HbA1c for 9-year-olds is 7.6% (60 mmol/mol) (interquartile range 7.1–8.4%, 54–68 mmol/mol) in boys and 7.7% (61 mmol/mol) (8.0–8.4%, 64–68 mmol/mol) in girls, increasing to 8.7% (72 mmol/mol) (7.5–10.3%, 59–89 mmol/mol) and 8.9% (74 mmol/mol) (7.7–10.6%, 61–92 mmol/mol), respectively, for 19-year-olds before falling to 8.4% (68 mmol/mol) (7.4–9.7%, 57–83 mmol/mol) and 8.2% (66 mmol/mol) (7.3–9.7%, 56–82 mmol/mol), respectively, for 30-year-olds. Annual hospitalization for DKA rose steadily in age from 6 years (2.0% for boys, 1.4% for girls) and peaked at 19 years for men (7.9%) and 18 years for women (12.7%), reducing to 4.3% for men and 5.4% for women at age 30 years. For all ages over 9 years, the prevalence of DKA was higher in female individuals.

CONCLUSIONS

HbA1c and the prevalence of DKA increase through adolescence and then decline. Measurement of HbA1c, a marker of clinical review, falls abruptly in the late teenage years. Age-appropriate services are needed to overcome these issues.
Numerical simulation and correlation research of multi-track overlapping laser quenching process for 40Cr steel
Authors: Li Chang , Deng Shuangjiu , Gao Hexin , Han Xing , Liu Zhaotai
Published: May 2023

Laser quenching has a short process cycle and high production efficiency, and it plays an important role in automobile, ship, machinery manufacturing, and other fields. The surface hardness of 40Cr steel laser quenching parts is uneven by unreasonable set on the quenching overlap zone. This will affect the microstructure of the quenched layer, resulting in cracking, corrosion during service, and other hazards that ultimately reduce reliability. Numerical simulations provide an effective way to quantitatively reveal the transient evolution of the multi-field coupling between temperature field, stress field, and phase transition field in quenching, which directly determines the extent of the overlap zone and quenching properties. The quenched phase transition layer profile is predicted to effectively determine the extent of the secondary tempering softening zone and solve the bottleneck problem of uneven surface hardness in quenching. The innovation of this paper is to establish a multi-field coupled numerical model of the 40Cr steel multi-track laser quenching process. The transient quenching temperature, phase transition hardening, and stress distribution were numerically calculated, and the size of the tempering zone under different overlapping rates was evaluated, revealing the internal coupling mechanism and correlation between multi-fields during the laser quenching. The quenching temperature, microstructure, and hardness distribution of 40Cr steel were tested by an infrared thermometer, Axio Vert A1 Zeiss microscope, Thermo ScientificTM Apreo scanning electron microscope, and Q10M microhardness tester, which verified the effectiveness of numerical simulation. The research can provide an important theoretical basis for optimizing quenching process parameters in production.
THE MATERIAL CONTENT OF REGIONAL REGULATIONS AS THE CONCRETIZATION OF THE LIVING LEGAL SYSTEM IN SOCIETY (ADAT LAW) BASED ON ARTICLE 2 OF THE INDONESIAN PENAL CODE (KUHP) 2023
Authors: Sumika Putri Nella
Published: May 2023

Article 2 of Law Number 1 of 2023 regarding the Criminal Code (“KUHP 2023”) not only leaves problems in the context of legality, but also includes mechanisms for the law enforcement process, particularly regarding the measurement of the applicability of Indonesian customary law (“Adat Law”) through regional regulations. One issue that has arisen is the lack of standardized content material that must be regulated in regional regulations in order to determine the applicability of Adat (criminal) Law. This article will analyze to what extent the standard of “law that applies in the place where the law lives” and to what extent the regional regulation regulating “living law” in the perspective of law enforcement prosecutes the perpetrator. The results show that regional regulation can be used as a basis for determining the recognition of Adat Law, but there is no common standard for how to recognize Adat Law under regional regulation. As the concrete of Article 2 Indonesian Penal Code 2023, regional regulation must explicitly regulate the scope of Adat Law (criminal) application related to territorial, personal and protection principles. Meanwhile, in the case of the prohibition act and penal sanction, it needs further studies because Adat Law has no separation between criminal and civil matters.
LEGAL POLICY ON REGULATING THE ACCELERATION OF DEVELOPMENT IN DISADVANTAGED REGIONS IN THE IMPLEMENTATION OF NATIONAL DEVELOPMENT WITH A COLLABORATIVE GOVERNANCE APPROACH
Authors: Jenar Saptono
Published: May 2023

According to National Medium-Term Development Plan for 2020-2024 (RPJMN 2020-2024), there are still 62 regencies specified as disadvantaged regions. The emergence of these disadvantaged regions is empirically a result of uneven national development in the past. Therefore, an affirmation policy from the government is needed to accelerate the development in disadvantaged regions through an acceleration program. The essence of forming regulations to accelerate the development of disadvantaged regions will be examined using a legal and conceptual approach. The discussion in this study is related to the legal politics of forming regulations to accelerate the development of disadvantaged regions, which is an integral part of the implementation of national development. The results of this research indicate that the legal politics of regulating the acceleration of development in disadvantaged regions in the implementation of national development is a mandate of the 2005-2025 RPJPN Law, Regional Government Law, and Ministry of State Law, which is aimed at providing development preferentially to disadvantaged regions and implemented to include the fulfillment of basic needs as well as basic facilities and infrastructure in disadvantaged regions in order to achieve public welfare through equitable development in Indonesia. Concurrently, accelerating development in disadvantaged regions through the implementation collaborative governance approach is a government policy aimed at creating synergy and integrating programs and activities executed by relevant ministries/agencies and partnering with communities and businesses to support funding for the accelerating development in disadvantaged regions.
Učenie o prírode a vede : náčrt dimenzií učiva
Authors: Trnka Marian
Published: May 2023

Publikácia predstavuje nový pohľad školy na prírodovedné vzdelávanie. Ide o pohľad, v ktorom toto vzdelávanie nie je o učení sa prírodovedných reálií, ale je procesom žiakovho spoznávania disku vedy. Tento pohľad je v texte odkrývaný postupne, cez predstavenie filozofických a psychologických vchodísk súčasnej didaktiky a cez odkrytie dvoch protichodných didaktických trendov: adademicky a konštruktivistický ladenej didaktiky. Ústrednou časťou textu je časť o vedecky ladenom kurikule, ktoré je autorom textu rámcované do štyroch dimenzií učiva prírodovedného vzdelávania.
ANALISIS SISTEM DRAINASE UNDERPASS UNILA BANDAR LAMPUNG
Authors: Rizki Ryan , Prawati Eri , Hadijah Ida
Published: May 2023

Underpas merupakan jalur lalu lintas yang berbentuk terowongan yang dibangun dibawah tanah. Tujuannya adalah untuk mengurangi penumpukan kendaraan dan kemacetan.Bentuk konstruksinya yang menurun memungkinkan air hujan langsung mengalir ke areatersebut. Tentu masalah tersebut akan sangat mempengaruhi kerusakan dari Underpas itusendiri dan akan mengakibatkan tergenangnya daerah sekitar saluran drainase.Pembangunan drainase pada proyek ini bertujuan untuk melindungi badan jalandari limpasan air hujan dan limpasan dari area sekitar rencana jalan sehingga umur rencanajalan dapat dicapai. Pada awal perencanaan sistem dainase perlu direncanakan skemasaluran drainase yang dibuat dengan memperhatikan tinggi – rendah elevasi – elevasipermukaan lahan.Adapun langkah analisis yang akan dilakukan adalah perhitungan hidrologi yangterdiri dari analisa cacthment area, intensitas hujan, debit rencana dan kemudiandicocokan dengan analisa hidrolika yang terdiri dari perhitungan dimensi saluran, dimensigorong-gorong dan kapasitas pembuangan saluran drainase.Berdasarkan hasil analisis saluran pembungan dan box tampungan pada rencanaunderpass, metode analisis yang digunakan metode rasional dengan analisa periode ulang2 tahun Qp = 0,023 m³/dtk, periode ulang 5 tahun Qp = 0,030 m³/dtk, dan periode ulang 10tahun Qp = 0,034 m³/dtk. Kapasitas saluran drainase underpass dijalan Zainal AbidinPagar Alam sebesar drainase persegi =120 x 1,3 x 1,3 = 202,8 m3dan drainase pipa beton3=145 x 1,0 = 145 m, elevasi hilir saluran +142,765 dan elevasi hulu +142,765, sedangkanair luapan sungai saat banjir yang masuk kesaluran drainase tersebut paling maksimum dielevasi +142,315 sebesar 171,11 m3dan dengan demikian tersedia ruang jagaan kelebihanair disaluran drainase sebesar = 101,4m3.
PERENCANAAN REHABILITASI TANGGUL PENAHAN BANJIR SUNGAI WAY SEPUTIH KECAMATAN SEPUTIH SURABAYA KABUPATEN LAMPUNG TENGAH PROVINSI LAMPUNG
Authors: Safi'i Ahmad , Prawati Eri , Amran Yusuf
Published: May 2023

Pada akhir bulan Februari 2018, terjadi banjir yang cukup besar di daerah IrigasiRawa Seputih Surabaya, banjir ini diakibatkan curah hujan yang tinggi yangmengakibatkan sungai way seputih tidak mampu menampung debit banjir tersebut,akibatnya tanggul penahan banjir berfungsi untuk melindungi lahan persawahan rawatersebut dari luapan sungai way seputih tidak mampu menahan debit banjir tersebut, yangmengakibatkan tanggul penahan banjir jebol di beberapa titik. Penelitian ini bertujuanuntuk merehabilitasi tanggul penahan banjir yang mampu menahan debit banjir yang akanterjadi pada periode ulang tertentu,dan menentukan faktor keamanan pada lereng tanggulyang direncanakan.Hasil perhitungan debit banjir rancangan pada daerah irigasi rawa seputih surabayadidapatkan debit banjir rancangan dengan kala ulang 2 tahun adalah 3272,96 m3/det, kalaulang 5 tahun adalah 3917, 26 m3/det, kala ulang 10 tahun adalah 4267,30 m3/det, kalaulang 25tahun adalah 4744,08 m3/det, kala ulang 50 tahun adalah 5095,09 m3/det, kalaulang 100 tahun adalah 5434,40 m3/det. Penelitian ini menggunakan debit banjir dengankala ulang 5 tahun, sehingga didapatkan tinggi jagaan untuk tanggul adalah 1,2 m, lebarmercu tanggul 5 m, tinggi tanggul 6,4 m. Untuk menghitung faktor keamanan lerengmenggunakan data pengujian tanah di lokasi penlitian didapatkan nilai faktor keamanan(FK) yaitu sebesar 2,902 > 1,5 hal itu menunjukan bahwa tanggul stabil dan aman terhadappotensi kelongsoran. Berdasarkan perhitungan debit rembesan didapatakan debit rembesanpada tubuh tanggul sebesar = 3,128 x 10-73m/det.