bluuebunny/crossref_metadata_2025 huggingface dataset:
Seismic Analysis of Irregular Buildings With And Without Lead Plug Rubber Bearings (LPRB)
Authors: P V Shadiya , Dilip P Priyanka
Published: April 2023

Base isolation has become an effective technique that aids in earthquake hazard mitigation and has been in use for the past decade. By properly separating the structure from the horizontal ground motion components, the base isolation system lowers the likelihood of resonance. Isolators are provided at the base of the structures, and decoupling is accomplished by modifying the system's flexibility and adding adequate damping. Structures with irregular plans are gaining popularity owing to their aesthetic appearance as well as architectural designs. The response of such structures to seismic action will be different from conventional structures. This paper aims to study the effect of base isolators on structures with irregular plans, while simultaneously observing the changes occurring when the height of the structures is increased. Three unique plans are chosen, namely plus, L and T shapes, whose responses are studied on 5, 10 and 15-storeyed structures. All the columns in the base-isolated structures are equipped with lead plug rubber-bearing base isolators which is the chosen isolator for this study. The base isolators are designed for each structure specifically so that the behavioural patterns observed are as accurate as possible. From the obtained results, it is discerned that base-isolated buildings exhibited better performances in comparison with fixed-base buildings, and as the height of the structure increases the effect of the base isolator tends to decrease.
Application of Classification Techniques on Breast Cancer Prognosis
Authors: Meena Munesh , Sehrawat Ruchi
Published: April 2023

The most prevalent form of cancer for females is breast cancer in Americans, and additionally, it is Asia's and the United States' second most common cause of death among females. In the United States in 2009, 40,600 persons died from breast cancer, 400 of whom were men. Clinical breast exams, radiographs, and ultrasounds are all excellent methods for testing for breast cancer today. A strategy for presenting a set of input-output sets to a network is referred to as supervised learning. The subsequent model parameters are updated iteratively to minimize the discrepancy around system prediction and real outcomes for training data. Three classification methods were tested on a breast cancer database: Probabilistic Learning, Logistic Regression, and Neural Net. Experiments demonstrated that Neuro Net categorization surpasses Tree Based categorization and Naïve Bayesian classification in terms of accuracy and precision for breast cancer early detection. Although it is established that the use of Ml techniques can enhance our knowledge of cancer progression, these methods must be confirmed before they're able to be employed in clinical practice. In this paper, we give a review of contemporary ML techniques used in cancer progression modelling. The prediction models talked about here have been trained using an assortment of supervised algorithms for machine learning, as well as varied input features and data. We have put together an inventory of the most recent articles that use such methods for modelling cancer risk or patient outcomes in context with the increasing desire to employ ML methods in cancer studies.
Measuring Mental Health Condition using Logistic regression
Authors: Anubrata Deb  , Bristi Samadder  , Souroja Chowdhury  , Sulekha Das  , Shweta Banarjee
Published: April 2023

Psychiatry begun to develop empirical approaches only in the past 30 years to conceptualizing, assessing and documenting positive mental health. In society we accept mental disorders as normal and try to hide it. The author has come across the fact that how severe Mental illness affect our life and the measures that can be taken to heal the same. Authors have designed means of prediction of depression of an individual. Real data has been collected from people ranging from 18 to 59 years of age. Neurotic sufferings cannot be fully understood without understanding real health and sound approach towards life so, the authors have taken approach of all the factors including depression, anxiety, stress, eating disorder, short temper, hallucination, loneliness, suicidal attempt, constant guilt feeling, fearful all these and more, realistic disturbing state and trait that result in various mental diseases has been considered and analysed. Authors have used logistic regression model on the study they have come across for predicting depression of an individual.
How to Build Houses and Save the Countryside
Authors: Spiers Shaun
Published: April 2023

Focusing on house building and conservation politics in England, Spiers uses his considerable experience and extensive research to demonstrate why the current model doesn't work, and why there needs to be both planning reform and a more active role for the state, including local government.
Biomateriais para enxertos ósseos na odontologia: uma revisão de literatura
Authors: Toazza Luís Angelo
Published: April 2023

Biomateriais são materiais naturais ou sintéticos utilizados em contato com sistemas biológicos cuja finalidade é reparar ou substituir tecidos, órgãos ou funções do organismo, com o objetivo de manter ou melhorar a qualidade de vida do paciente. O osso é um tecido conjuntivo especializado, vascularizado e dinâmico que se modifica ao longo da vida do organismo. Quando lesado, possui uma capacidade única de regeneração e reparação sem a presença de cicatrizes, mas em algumas situações devido ao tamanho do defeito, o tecido ósseo não se regenera por completo Assim, se faz necessária a realização de procedimentos de enxertia óssea. Haja vista, existem diversos tipos de enxertos e diversas áreas doadoras. Diante disso, o objetivo do presente estudo foi realizar uma revisão de literatura a cerca dos tipos de enxertos mais empregados na odontologia. Tendo em vista a importância das reconstruções ósseas na cirurgia bucomaxilofacial, torna-se necessário conhecer a viabilidade e a influência dos biomateriais, associados ou não a enxertos autógenos, na reparação óssea. Mesmo este, apresentando inúmeras qualidades, estudos ainda devem ser feitos a fim de obter a cada dia, um material sintético compatível com o tecido ósseo perdido em quantidades adequadas sem necessitar de cirurgias extrabucais que são consideradas de maior morbidade.
Differences in Financial Performance of LQ45 Companies Listed on the Indonesian Stock Exchange during the Covid-19 Pandemic
Authors:   Fakultas Ekonomi dan Bisnis, Universitas Merdeka Malang, Indonesia, Sulistyorini Ery , Metyopandi Vierkury ,   Fakultas Ekonomi dan Bisnis, Universitas Merdeka Malang, Indonesia, Ahirya Mega ,   Fakultas Ekonomi dan Bisnis, Universitas Merdeka Malang, Indonesia, Rishma Monica Ayu ,   Fakultas Ekonomi dan Bisnis, Universitas Merdeka Malang, Indonesia, Patalo Ryan Gerry ,   Fakultas Ekonomi dan Bisnis, Universitas Merdeka Malang, Indonesia
Published: April 2023

The global economy has been hit by a crisis, including the Covid-19 pandemic, which is no different than what Indonesia is experiencing. The pandemic has infected and affected the economic power of all countries. Performance during a pandemic should be studied very diligently. This phenomenon led to the first research on Indonesian companies. The purpose of this study is to determine the company’s performance before the pandemic and during his Covid-19 pandemic. For this, the researcher uses the “strong” firms in the Indonesian capital market – his LQ-45 firms. A total of 45 and 21 companies from various sectors were obtained using a targeted random sampling method. This data is collected through annual financial reporting for the 2018-2019 pre-pandemic and 2020-2021 during the Co-19 pandemic. Variables used to define company performance are current ratio (CR), gearing (DER), total assets turnover (earnings), return on equity (ROE), and earnings per share (EPS) is. Using these variables is suggested by researchers as representative of each company’s financial metrics. The research method used is another test of paired data. A data normality test was previously performed and found that the data used were not normally distributed. Therefore, for further analysis to determine whether there were differences before and during the Covid-19 pandemic, the Wilcoxon paired difference test was used in the analysis. We found no difference in firm performance between CR and DER variables before and during. However, when it comes to revenue, ROE and EPS, there are differences in company performance in the LQ-45. Apart from that, these results also show that business performance has declined during the Covid-19 pandemic.
Correlation between Percutaneous Biliary Drainage and Decrease in Serum Bilirubin
Authors:   ISSSTE Hospital 1° de Octubre, Mexico City., Hayashi-Mercado César , González-Urueta Miguel ,   UABC, Baja California, México., Luna-López Gabriel ,   ISSSTE Hospital 1° de Octubre, Mexico City., Aguilar-West Abelardo ,   Hospital Militar Escuela Dr. ADB 2254, Managua, Nicaragua.
Published: April 2023

Background: Obstruction of the bile duct, whether caused by a tumor or a surgical injury, will cause: jaundice, elevated liver enzymes, and eventually, liver failure. The primary goal of percutaneous management is draining bile into the small intestine and achieving a drainage that is the most similar to the normal physiologic drainage, maintaining normal enterohepatic circulation. The present study aims to make a correlation between percutaneous biliary diversion and the decrease in serum bilirubin in pre- and post-procedure studies (24 hours). Methods: We did a retrospective review of the database of the Interventional Radiology service of Hospital Regional 11º de Octubre, México. The time study was between years 2017 and 2022. We analyzed 75 patient’s clinical records who underwent percutaneous management with a diagnosis of bile duct dilation due to an obstructive origin. The population was divided in three groups benign, malignant and post-surgical based on the ethiology of the bile duct obstruction. Total serum bilirubins, liver enzymes, coagulation tests and platelets of each patient were obtained from the clinical record prior to percutaneous biliary diversion and 24 hours after procedure. Results: 75 patient records were explored, of which 26 (34.7%) were men and 49 (65.3%) were women The mean age was 62.3 years. A statistically significant decrease in total serum bilirubin was observed 24 hr after the procedure with a p value of 0.009. A statistically significant decrease after the procedure was also observed in liver enzymes with a value of: GGT with p: 0.002, GOT with p: 0.003 and LDH with p: 0.005 Discussion: There was a decrease in total serum bilirubin and liver enzymes after an effective biliary diversion, regardless of the cause of obstruction.
Prevalence of Vitamin D Deficiency Among Population in Iraq: Review Article
Authors:   College of Pharmacy, Al-Bayan University, Baghdad, Iraq, Salim Khulood S. , Ghassan Baraa ,   College of Pharmacy, Al-Bayan University, Baghdad, Iraq, Al-Temimi Ahmed Alaa ,   College of Pharmacy, Al-Bayan University, Baghdad, Iraq
Published: April 2023

Vitamin D is a lipid-soluble substance that has two forms, vitamin D2 (ergocalciferol) and vitamin D3 (cholecalciferol). UV light is the main source of vitamin D that induces the conversion of 7-dehydrcholestrol to vitamin D in the skin. Food sources that contain a high amount of vitamin D are egg yolk, fish, and liver. Several studies revealed the wide prevalence of deficiency in Vit. D among the healthy population, in addition, different diseases have a relation with their inadequacy in the body. This review study summarized the results recorded by published articles in different regions in Iraq regarding vitamin D deficiency. The review concluded that there is a high prevalence of Vit. D deficiency among the population in different regions of Iraq.
Case report of a lesser sac intestinal herniation through a defect in the gastro-hepatic omentum and novel repair technique using biological glue
Authors:   Department of General Surgery, Farwaniyah Hospital, Kuwait, Al-ajmi Hamad
Published: April 2023

Internal hernia is a clinical genus that poses diagnostic and therapeutic challenges and is often omitted from the differential diagnoses because of its relative rarity. We report a case of extremely rare and atypical lesser sac intestinal herniation through a small defect in the gastro-hepatic omentum. This report details the preoperative and intraoperative diagnostic challenges and shortcomings, and also describe a novel repair technique using fibrin glue to address the culprit defect and prevent future recurrence. In this report we attempt to map out our experience against the published literature on similar cases and clinical genera and propose an anatomical and pathological model that may be used to scaffold our understanding of this clinical entity and inform relevant clinical decisions.
Epidural Labor Analgesia and Epidural Surgical Anesthesia in a Patient with Idiopathic Intracranial Pressure with Lumbo-peritoneal Shunt: a rare case report
Authors:   Anesthesia and Critical Care Department, Souissi Maternity Hospital, University Hospital Center Ibn Sina, University Mohammed V, Rabat, Morocco, Caidi Nawfal , Ziani Hicham ,   Gynaecology-Obstetrics and Endoscopy Department, Maternity Souissi, University Hospital Center IBN SINA, University Mohammed V, Rabat, Morocco, Lazhar Hanaa ,   Gynaecology-Obstetrics and Endoscopy Department, Maternity Souissi, University Hospital Center IBN SINA, University Mohammed V, Rabat, Morocco
Published: April 2023

Background: Idiopathic Intracranial Hypertension (IIH) is due to an increased intracranial pressure with no secondary cause of intracranial hypertension and normal Cerebrospinal fluid (CSF) composition. IIH’s prevalence is high among obese women of childbearing age and subsequently coincides with pregnancy. Symptoms vary among patients and commonly present headaches and visual impairment. If untreated, it may steer persistent headaches and lasting visual impairment such as diplopia and scotoma or even blindness. Case Report: We hereby present the uncommon case of an epidural anesthesia for cesarean section in a patient with idiopathic intracranial hypertension and Lumbo-peritoneal shunt that presented to our obstetrics department in labor. First, epidural labor anesthesia (ELA) with a catheter placed above the LP shunt scar was the chosen course of action. However, ELA was converted to an epidural surgical anesthesia (ESA) for acute fetal distress secondary to a placental abruption. Conclusion: IIH usually occurs in pregnant women at any trimester. If undiagnosed or poorly managed, it can lead to drastic complications. As uncommon as it may be, all medical practitioners should be familiar with this pathology even though its diagnostic and treatment are exacting. While the optimal anesthetic management is still controversial, epidural anesthesia proved to be very effective.
KICHIK BIZNES KORXONALARIDA MOLIYAVIY REJALASHTIRISH VA BYUDJETLASHTIRISHNING XUSUSIYATLARI
Authors: Kunduzova Kumrixon
Published: April 2023

Maqolada kichik biznes korxonalarida moliyaviy rejalashtirish va byudjetlashtirish tizimini takomillashtirish muammolarini oʻrganish natijalari keltirilgan. Tadqiqotlarning dolzarbligi kichik biznesni samarali boshqaruv qarorlarini qabul qilishda moliyaviy rejalashtirish va byudjetlashtirish zarurati bilan asoslanadi. Shuningdek kichik biznesning mamlakat iqtisodiy rivojlanishidagi roli va oʻrni yetakchi olimlar fikrlari asosida tahlil qilindi.
Color Pattern Steganography in Images
Authors: Mohammed Zaki Hassan
Published: April 2023

Text steganography into images is one of the important strategies that are used to hide the transmitted secret messages via internet connections. Most of the proposed methods required mapping key to recover the hidden secret messages and implement more complex algorithms in hiding and recovering processes. The paper proposed an improved method to hide text in image cove based on the color pattern of the cover image. It based on the sequence of the new occurrence of the color. The results showed that the proposed method has high performance in hiding with extremely low PSNR(<0.002). The low differences between the original image and the stegno image provide more secured hiding that satisfied the State-of-Art.  The proposed method can be used in transmitting classified and confidential messages via public internet connections.
Effect of organic manures and micronutrients on yield of brinjal (Solanum melongena)
Authors: Jat Asha , Soni AK , Sharma Versha , Yadav Mahendra
Published: April 2023

An experiment was conducted to study the effect of organic manures and micronutrients on growth, yield and quality of brinjal (Solanum melongena L.) var. Pusa Uttam during kharif season 2018 at S.K.N. Agriculture University, Jobner (Jaipur). The application of vermicompost (6.6 t/ha) significantly increased number of branches (3.19, 9.17, 13.36 and 15.35 at 30, 60, 90 and 120 DAT), number of leaves (13.79, 77.32, 187.78 and 219.58 at 30, 60, 90 and 120 DAT), fruit length (8.17 cm), fruit diameter (7.31 cm), number of fruits/plant (6.59), fruit weight (129.67 g), fruit yield per plot (17.13 kg /plot) and fruit yield (317.20 q /ha) but days required to 50 per cent flowering was non-significants. The Zn @ 0.5% significantly increased number of branches (3.24, 9.27, 13.50 and 15.49, respectively), number of leaves (14.03, 78.41, 191.51 and 222.49, respectively) fruit length (8.30 cm), fruit diameter (7.41 cm), number of fruit/plant (6.63), fruit weight (131.05 g), fruit yield/plot (17.39 kg /plot) and fruit yield (321.99 q/ha) but days required to 50 per cent flowering was non-significant.
Modelling the growth, yield, and future climate suitability of underutilized tropical tuber crops-‘aroids’: A review
Authors: Pushpalatha Raji , Gangadharan Byju
Published: April 2023

Elephantfoot yam and taro are important aroids of tropical tuber crops and considered as underutilized in the context of climate change and food security. This study focuses on the existing modelling studies on growth, yield, and future climate suitability of elephantfoot yam and taro. Among different crop models, SUBSTOR-Aroids, AquaCrop, and WOFOST are tested internationally to simulate the crop growth and yield of aroids. The QUEFTS model is tested in India for aroids in estimating crop yield based on site-specific nutrient management. EcoCrop is used to predict the future climate suitability of aroids. This review indicates very limited studies are available for aroids compared to other tropical tuber crops. This shows the necessity to focus more on these underutilized aroids as they are superior in per hectare production to that of major foodgrain crops. This review also recommends modelling studies on aroids to identify or develop a better model structure irrespective of the agro climatic conditions.
Alzheimer’s Disease Detection using Machine Learning Techniques In 3D MR Images
Authors: Vedant Shirude  , Satej Ganji  , Nikita Sonsale  , Ashutosh Mahamuni  , Prof. A. V. Patil
Published: April 2023

Alzheimer's disease is a major global health concern, and early detection and treatment are crucial for slowing its progression and enhancing the quality of life for those affected. While a cure for the disease is yet to be found, machine learning algorithms like Random Forest are emerging as promising tools for its early detection and prediction with high accuracy. These algorithms can detect patterns and features in patient data that may indicate the presence or likelihood of Alzheimer's disease. By utilizing large datasets and complex algorithms, machine learning has the potential to revolutionize healthcare by enabling earlier diagnosis and treatment. This could significantly improve outcomes for patients and their families. Therefore, the application of machine learning to Alzheimer's disease holds immense promise for enhancing public health worldwide.
Medicine Pillbox Reminder Using IoT Sensors
Authors: Narayanan S  , Harish A  , Harish B  , Jebin J  , Kiruthick Roshan R
Published: April 2023

In recent times IoT (Internet of Things) plays a major role in the daily routine of human life. Majorly this technology is showing its impact on medical applications. As per a report, Health issues become very common for people above the age of 40 and it becomes severe for the elderly population. Sometimes old age people forget to take medicine and also get confused about when to use what type of medicine, which makes them rely on the assistance of others. With the help of IoT, a smart device with RFID (Radio-frequency Identifier), Arduino UNO and NodeMCU is proposed. This not only helps in suggesting the kind of medicine to be taken but also the information is sent to the nearby hospital in case of emergencies. The proposed model achieves an accuracy of 92%, which is very much essential in present days.
Rental Property Management System
Authors: Omkar Sheshraoji Kosare  , Minal Vinod Sawarkar  , Ketaki Dattaraj Sewatkar  , Pratik Ladekar
Published: April 2023

This Web Application helps user to register individual home or apartment to assist you in finding the perfect rental home or property. Also we can find your next rental from search view in your targeted area. This website is designed to attend to all our needs from buying property, selling property or renting/leasing of property in India. Here we found the better opportunity to invest our value of entire life. Property helps us to maintain the database of various property & agents information. It not only helps us to maintain the agent information but here we also allow agents to access the portal updated information across the global environment. We know it is a tiring to call individual property agents, arrange appointment, finding better time for appointment and they will assist you. For such complex process we provide a one simple online form which requires your basic information and we will assist in sort time period.
Development of a Lightning Prediction Model Using Machine Learning Algorithm: Survey.
Authors: RAHEEM BABATUNDE , Ogbuju Emeka , Oladipo Francisca
Published: April 2023

This research is aimed at preventing broadcast equipment from lightning damage. Inview of the location in which my broadcast outfit is located (located in a valley; some few meters above sea level in the Confluence of Lokoja Kogi State Nigeria). Several improvement of earthing and installation of lightning arresting facilities, there has not been significant change protecting broadcast equipment from lightning. The solution I proffered is to isolate all electrical connection from equipment. Lightning as a natural phenomenon is very unpredictive and destructive which can occur during transmission. How do we know the day and time distructive lightning will come? The answer is to develop a lightning prediction system that is accurate. When lightning lead time is known, personnel on duty will be alerted to isolate all broadcast equipment from the mains and central earth connection. Since the lightning prediction system has to be localized. Deployment of machine learning algorithm is most appropriate. The use of ten(10) years Weather Numerical Values(2012-2022) such as rainfall, atmospheric pressure, relative humidity, temperature and lightning records which are gotten from Nigeria Meteorological Agency (NIMET), Lokoja Area Office, Kogi State. This parametization are factors that are used to work on the lightning forecast system as lightning will occur at their certain threshold values. The model is intended to be deployed on web application. Prediction model can be localized to support Numerical Weather Prediction in any environment in Nigeria.
Social Agency and Neurodivergent Routines: Supports and Barriers to the Mental Health of Autistic Adults During the COVID-19 Pandemic
Authors: Dallman Aaron R. , Wilson Kaitlyn , Friesner Emily
Published: April 2023

Importance: The coronavirus disease 2019 (COVID-19) pandemic highlighted unique neurodiversity-affirming practices that may support autistic people’s mental health, many of which run contrary to typical notions of autism. These insights are critical for occupational therapists working with this population.

Objective: To (1) understand the self-reported mental health experiences of autistic adults during the COVID-19 pandemic and (2) identify ways that occupational therapy practitioners and other clinicians can help autistic adults during unexpected and challenging times.

Design: This qualitative interpretative phenomenological study used surveys and interviews to collect data between August 15, 2020, and May 1, 2021. Two researchers independently coded interview transcripts. Any disagreements were resolved through consensus.

Setting: Qualtrics survey and Zoom interviews.

Participants: Participants (N = 34) met the following inclusion criteria: self-reported diagnosis of autism spectrum disorder or Asperger’s syndrome, ages 18 to 35 yr, residing in the Eastern United States, able to understand English, and able to participate in a one-on-one interview using verbal or written communication. Recruitment was conducted via snowball sampling through local agencies serving autistic people.

Results: Two themes emerged from the data: (1) autistic adults’ social experiences during the COVID-19 pandemic paradoxically supported and hindered their mental health and (2) during the COVID-19 pandemic, mental health was tied to daily activity among autistic adults.

Conclusions and Relevance: Participants reported feelings of anxiety and depression, as well as a need for social interaction on their own terms. Clinical recommendations are provided.

What This Article Adds: This article includes suggestions generated from autistic people’s input on how clinicians can support this population. The suggested supports and alteration to occupations can be both applied in the case of another unexpected event (e.g., another pandemic) and incorporated to promote the participation and well-being of autistic adults.

Positionality Statement: We use identity-first language (e.g., autistic person) throughout this article because disability advocates and scholars assert that person-first language (e.g., person with autism) contributes to disability stigma (Collier, 2012; Gernsbacher, 2017).
Exercise for Adults With Stroke to Improve ADL and/or Functional Mobility Performance (2012–2019)
Authors: Geller Daniel , Winterbottom Lauren , Goldberg Carly , Nilsen Dawn M. , Mahoney Danielle , Gillen Glen
Published: April 2023

Systematic Review Briefs provide a summary of the findings from systematic reviews developed in conjunction with the American Occupational Therapy Association’s Evidence-Based Practice Program. Each Systematic Review Brief summarizes the evidence on a theme related to a systematic review topic. This Systematic Review Brief presents findings from the systematic review on interventions to improve activities of daily living (ADL) and functional mobility performance for people with stroke. This theme reports on exercise interventions.
Functional Movement Patterns, Spinal Posture and Prevalence
of Musculoskeletal Symptoms among Elite Ice Hockey Players:
A Cross Sectional Study
Authors: Grabara Małgorzata , Bieniec Anna
Published: April 2023

The aim of this study was to evaluate functional movement patterns and spinal posture of elite ice hockey players and to examine the association between spinal posture, prevalence of musculoskeletal symptoms and Functional Movement Screen (FMSTM) scores. The study included 86 elite male ice hockey players aged 18 to 38 years. Sagittal spinal curvatures were measured with a Saunders digital inclinometer, and functional movement patterns were assessed by the FMSTM. Spinal posture of the studied ice hockey players was characterized by normal kyphosis (46%) or hyperkyphosis (41%) and decreased lumbar lordosis (54%). The mean total FMSTM score was 14.8. Most of the hockey players (57%) achieved a total FMSTM score in the range of 14–17 points, whereas 28% had a total FMSTM score of <14. Seventy-two percent of the studied athletes had at least one asymmetry. Significant differences between performing the movements on the right and the left sides of the body were observed in in-line lunges (p = 0.019) and shoulder mobility sub-tests (p < 0.001). The FMSTM sub-tests performed with the lowest success rates were rotatory stability and the hurdle step. A lower score in the rotatory stability test is related to shoulder pain. It is highly important to develop appropriate exercise programs to reduce or prevent muscle imbalances in ice hockey players.
The Relative Age Effect in Ice Hockey: Analysis of Its Presence, Its Fading and of a Reversal Effect among Junior
and Professional Leagues
Authors: Lemoyne Jean , Trudeau François , Grondin Simon
Published: April 2023

This study analyzes the relative age effect (RAE) among the world's best junior hockey leagues and in the NHL. Despite the prevalence of RAE in ice hockey, past research suggests its fading-reversal over time, which may occur at later stages of athletic development. The hypothesis of the RAE reversal was tested with two sources of raw data files from the 2021-2022 season: 15 of the best international junior and minor professional leagues (N = 7 399) and the NHL (N = 812). Birth quartile distributions were analyzed to verify the prevalence of RAE and quantile regression was used to test the reversal of RAE hypotheses. Advanced hockey metrics were aggregated from multiple data sources and used to compare early born with late born players using birth quartiles. Prevalence of the RAE was verified with crosstabs analyses and quantile regression was used to test the reversal effect. Results indicated that the RAE still prevailed in ice hockey, with higher magnitude in Canadian leagues. Regression analyses showed that late-born junior and minor pro players, despite getting less exposure in terms of games played, attained levels of offensive production similar to those of early born players. Late-born players able to emerge in the NHL performed similarly and sometimes displayed better performance (in some markers). Results suggest that stakeholders should find ways to pay special attention to late born players in talent identification processes and offer them opportunities to develop at the highest levels.
‘Xiaopeng’s New Energy Vehicle under the Concept of Low Carbon Green Consumption Study on Marketing Strategy Optimization
Authors:   The Northeast Asian Business and Economic Association (NABEA), Liu Yongteng , Wang Hao
Published: April 2023

Purpose – Based on the development trend and direction of the new energy vehicle, this paper analyzes the marketing environment of the new energy vehicle in the background of low carbon and green.
Design/Methodology/Approach – PEST analysis method、4P Marketing Strategy. Findings – Based on PEST analysis and 4P analysis, this paper discusses and studies the marketing optimization strategy of Xiaopeng New Energy Automobile Co., Ltd., the marketing optimization strategy of Xiaopeng New Energy Vehicle is discussed and analyzed. Based on the analysis and research, the following findings are obtained: First, Xiaopeng technology should aim at families with fuel cars, working class, or urban traffic congestion and have a commuter bus at home, and optimize the design to provide passengers with a better ride experience and enhance product competitiveness. Second, Xiaopeng science and technology should pay more attention to the added value of new energy, improve the quality and after-sales service of new energy vehicles, and provide more value-added services for consumers. Third, Xiaopeng science and technology should pay close attention to the characteristics of ”consumers’ purchasing behavior and pay attention to diversify marketing channels. At the same time, fourth- and fifth-tier cities set up stores to boost their sales channels. Fourthly, Xiaopeng Science and Technology should raise the brand awareness of enterprises and adopt scientific and unified promotional methods. At the same time, in order to improve the promotion effect, Xiaopeng Technology should continuously improve the evaluation and feedback of the promotion effect. Research Implications – First, guide Xiaopeng’s new energy automobile marketing problem. Understanding the current marketing situation of the enterprise, the deficiencies and problems are analyzed to play an auxiliary role in solving the problem effectively so as to make the enterprise get good results. Second, it helps to provide a reference for other related enterprises. This paper takes the new energy automobile marketing of Xiaopeng Science and Technology Enterprise as the object of analysis and hopes to provide references for other enterprises to formulate and implement marketing strategies.
Research on the Impact of Perfect Diary Offline Experience Marketing on Consumer Behavior
Authors:   The Northeast Asian Business and Economic Association (NABEA), Wei Yue
Published: April 2023

Purpose - In recent years, with the rapid improvement of China’s economy, technology, and consumption level, the beauty industry gradually occupies an important part of the national economy, and the demand for consumers’ spiritual level is also higher and higher.
Design/Methodology/Approach - This paper focuses on the developing beauty product market in the era of the experience economy, selects the most representative perfect diary brand as an, example and finds the marketing problems of offline experience store of perfect diary brand from the perspective of experience marketing.
Findings - This paper uses experiential marketing in the offline experience store of the perfect diary brand as the research object. Using SPSS statistical analysis method and questionnaire survey method, this paper deeply analyzes the industry status of the offline experience store of perfect diary brand, makes assumptions on the relationship between experiential marketing and consumer perceived value of the offline experience store of perfect diary brand, and analyzes the relationship among experience marketing, perceived value, and consumer behavior.
Research Implications - Based on the experimental results, this paper puts forward a series of marketing suggestions to improve the market competitiveness and popularity of the perfect diary offline experiestorestore, and obtains marketing strategies according to the actual situation.
Schwungvoll in den Frühling
Authors: Ciupek Martin
Published: April 2023

Fahrrad: Jetzt wird es wieder eng auf den Radwegen. Wohl dem, der dafür gut ausgestattet ist.

 

Wir stellen neue E-Bike-Modelle und nützliches Zubehör vor. Von Martin Ciupek
Economía circular como base de la sustentabilidad empresarial
Authors: Soria Flores Edwing Rolando , Cabascango Jaramillo Janeth Carolina , Villegas Estévez Cristina Jaqueline , Pérez González Álvaro René
Published: April 2023

El mundo está al borde del colapso, tanto en el agotamiento de materias primas como el aumento de la contaminación producto de los desechos producidos por la humanidad. El modelo de economía lineal actual posibilita que en el mediano o corto plazo se produzca el colapso de la economía, el medio ambiente y por ende, de la sociedad, lo que traerá como consecuencia lógica el posible fin de la humanidad. Unas relaciones económicas basadas en un modelo de Economía Circular de aprovechamiento y reutilización de los productos, eliminando en la mayor cantidad posible los desechos evitaría el destino predicho según el antiguo modelo económico. Para tratar de analizar esto se realizó una revisión bibliográfica de artículos científicos, libros y revistas de corriente principal que tratan el tema y ejemplifican los pasos que se están dando en la implementación de economías circulares aplicadas a diferentes ramas del proceso productivo. El presente trabajo es, por tanto, la realización de una búsqueda bibliográfica actualizada de artículos y trabajos especializados que acerquen el tema de la Economía Circular a su manifestación como base de la sustentabilidad empresarial y, por ende, de las economías de los países, especialmente en el área de las naciones subdesarrolladas en función de la disponibilidad de recursos materiales y su agotamiento sostenido.
Percepción de los empleadores sobre las competencias de los graduados de la carrera de Contabilidad y Auditoría UPS - Cuenca periodo 2016-2021
Authors: García Bacuilima Jorge Luis , Reinoso Arévalo Daniela Belén , Zhunio Zuin Diego Marcelo
Published: April 2023

La competencia profesional, nace de las capacidades intelectuales que el profesional haya adquirido en la universidad de procedencia para así generar valor agregado, en el desempeño de sus funciones realizadas; como resultado, el graduado recibirá beneficios económicos, laborales e intelectuales. Es importante identificar la percepción de los empleadores respecto a las competencias de los graduados de la carrera de Contabilidad y Auditoría de la Universidad Politécnica Salesiana sede Cuenca que se encuentran trabajando entre los años 2016 – 2021; Con el propósito de encontrar posibles deficiencias en la formación de los estudiantes, que permitan la incorporación de mejoras, en la actualización de las mallas curriculares. Para el análisis se utilizó la base datos de los graduados, con un total de 105 empresas, para la recolección de la información se aplicó una encuesta analítica a cada uno de los empleadores, que constó de 14 preguntas, utilizando una escala de Likert de 5 niveles. Se aplicó el coeficiente de Pearson, para ver la relación entre aptitud percibida por los empleadores y el género de los graduados. Los hallazgos permiten vislumbrar fortalezas y leves debilidades que deben ser estudiadas detenidamente y retroalimentar el plan de estudio.
Atmospheric impacts of chlorinated very short-lived substances over the recent past – Part 2: Impacts on ozone
Authors: Bednarz Ewa M. , Hossaini Ryan , Chipperfield Martyn P.
Published: April 2023

Abstract. Depletion of the stratospheric ozone layer remains an ongoing environmental issue, with increasing stratospheric chlorine from Very Short-Lived Substances (VSLS) recently emerging as a potential but uncertain threat to its future recovery. Here the impact of chlorinated VSLS on past ozone is quantified, for the first time. using the UM-UKCA chemistry-climate model. Model simulations show that between 2010–2019 Cl-VSLS reduced total column ozone by, on average, ~2–3 DU in the springtime high latitudes and by ~0.5–1 DU in the tropics, with up to 5–6 DU monthly and zonal mean Arctic ozone reductions simulated in the springs of 2011, 2014 and 2020. Cl-VSLS impacts during the recent cold Arctic winter of 2019/2020 are also quantified to have resulted in up to 6 % reduction of lower stratospheric ozone and ~6 DU ozone in total by the end of March. On the other hand, the simulations show that the inclusion of Cl-VSLS does not considerably modify the magnitude of the diagnosed recent ozone trends. We also estimate the ozone depletion potential of dichloromethane, the most abundant Cl-VSLS, at 0.0107. Our results thus illustrate a so-far modest but nonetheless non-negligible role of Cl-VSLS in contributing to stratospheric ozone budget over the recent past that if to continue could offset some of the gains achieved by the Montreal Protocol.
CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model
Authors: Pendergrass Drew C. , Jacob Daniel J. , Nesser Hannah , Varon Daniel J. , Sulprizio Melissa , Miyazaki Kazuyuki , Bowman Kevin W.
Published: April 2023

Abstract. We present a versatile, powerful, and user-friendly chemical data assimilation toolkit for simultaneously optimizing emissions and concentrations of chemical species based on atmospheric observations from satellites or suborbital platforms. The CHemistry and Emissions REanalysis Interface with Observations (CHEEREIO) exploits the GEOS-Chem chemical transport model and a localized ensemble transform Kalman filter algorithm (LETKF) to determine the Bayesian optimal (posterior) emissions and/or concentrations of a set of species based on observations and prior information, using an easy-to-modify configuration file with minimal changes to the GEOS-Chem or LETKF code base. The LETKF algorithm readily allows for non-linear chemistry and produces flow-dependent posterior error covariances from the ensemble simulation spread. The object-oriented Python-based design of CHEEREIO allows users to easily add new observation operators such as for satellites. CHEEREIO takes advantage of the HEMCO modular structure of input data management in GEOS-Chem to update emissions from the assimilation process independently from the GEOS-Chem code. It can seamlessly support GEOS-Chem version updates and is adaptable to other chemical transport models with similar modular input data structure. A postprocessing suite combines ensemble output into consolidated NetCDF files and supports a wide variety of diagnostic data and visualizations. We demonstrate CHEEREIO’s capabilities with an out-of-the-box application, assimilating global methane emissions and concentrations at weekly temporal resolution and 2°x2.5° spatial resolution for 2019 using TROPOMI satellite observations. CHEEREIO achieves a 50-fold improvement in computational performance compared to the equivalent analytical inversion of TROPOMI observations.
RESEARCH ON NATURAL RESOURCES SPATIO-TEMPORAL BIG DATA ANALYSIS PLATFORM FOR HIGH PERFORMANCE COMPUTING
Authors: Gao Y. , Lui J. , Liu Y. , Zhai Z. , Che J. , Li H. , Wang R. , Liu J.
Published: April 2023

Abstract. In the era of earth observation big data, a new paradigm for the unified management of natural resource conservation and utilization has been established in China. The current focus of natural resources monitoring is on fully leveraging the value of big data in geospatial and temporal dimensions to support new work on natural resources management. An overall framework for a spatial-temporal big data analysis platform is proposed in this paper, which explores innovative technologies such as heterogeneous cloud collaborative services, business capabilities, data resources, and open sharing. Utilizing private cloud computing resources, the platform establishes collaborative services for storage cloud, computing cloud, and database cloud, demonstrating its ability to perform large-scale online computation of spatial-temporal data. Mainstream spatial data analysis computing methods such as vector computing, grid computing, and other grid computing methods are also established, and an open service model for interdisciplinary applications is explored. The feasibility of the proposed platform is verified using nationwide land cover data of 260 million surface area classifications, indicating its great potential for application.
MATHEMATICAL AND PHYSICAL APPROACHES TO INFER ABSOLUTE ZENITH WET DELAYS FROM DOUBLE DIFFERENTIAL INTERFEROMETRIC OBSERVATIONS USING ERA5 ATMOSPHERIC REANALYSIS
Authors: Kamm B. , Schenk A. , Yuan P. , Hinz S.
Published: April 2023

Abstract. Atmospheric water vapor (WV) is one of the driving constituents of the atmosphere. The modelling and forecasting of WV and derived quantities like precipitable water is reliable on regional scales but challenging on small scales because of its high spatial and temporal variation. Interferometric synthetic aperture radar (InSAR) can be exploited to retrieve integrated atmospheric water vapor (IWV) from path delay observations along the radar line of sight. InSAR-derived IWV maps feature a very high spatial resolution but the double-differential interferometric observations only provide changes of IWV between acquisition times and with respect to a certain spatial reference. In this study we present a method to derive the absolute IWV by combining ERA5 numerical weather model data with differential path delay observations from InSAR time series. We propose different functional approaches to merge the regional trend of WV from ERA5 with the high resolution IWV signal from InSAR. We apply this to a Sentinel-1 Persistent Scatterer InSAR time series in the Upper Rhine Graben and validate against IWV observations at GNSS stations of the Upper Rhine Graben Network.
DESIGN OF A SPACE-BORNE HYPERSPECTRAL IMAGER FOR MICRO-SATELLITES
Authors: Öztürk Z. N. , Ekinci M. , Karcı Ö.
Published: April 2023

Abstract. We present an optical design of a space-borne hyperspectral imager (HSI) for Earth observation micro-satellite platforms. Space-borne hyperspectral imaging has many crucial applications in fields such as agriculture, water management, environmental monitoring, mineralogy, and remote sensing. An HSI system capable of ground sampling distance (GSD) less than 15 m with a swath width greater than 15 km, spectral resolution less than 10 nm and operating in Low Earth Orbit (LEO) is designed. The system dimensions are restricted to fit in a volume of less than 0.125 m3. A commercial, cooled HgCdTe type imaging sensor is selected to operate 400–2500 nm of the spectrum for the designed imager. The HSI optical design comprises of an off-axis three mirror anastigmat (TMA) type telescope and a modified-Offner type spectrometer. Modified-Offner type spectrometer design with two Féry prisms as a diffractive element is used. The overall HSI system design meets the performance goals described in this paper work.
ENVIRONMENTAL SUSTAINABILITY ASSESSMENT OF A HIMALAYAN CATCHMENT WITH LAND COVER INDICES AND LST RELATIONSHIP USING PRINCIPAL COMPONENT ANALYSIS – A GEOSPATIAL APPROACH
Authors: Sathyaseelan M. , Ghosh S. K. , Ojha C. S. P.
Published: April 2023

Abstract. Environmental sustainability assessment is a crucial part of the management of natural resources. Remote Sensing based environmental land cover indices such as Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Built-up Index (NDBI), Normalized Difference Moisture Index (NDMI), and its associated Land Surface Temperature (LST) are the major governing factors for the environmental processes that happen on the surface of the earth . These NDVI, NDWI, NDBI, NDMI, and LST are generated for 2020 using the Landsat satellite datasets. The process-based relationship among them is complex and involves various parameters but may be easily represented by multiple linear regression models. Principal Component Analysis (PCA) is one such type that efficiently handles and evaluates the contribution of each of these factors to each other based on the sampling units. The study area is the upper Ramganga catchment in the Indian Himalayas, consisting of 117 sub-catchments. These catchment units (samples) are entangled with these environmental factors. The results of the PCA reveal the relationship between each of the environmental factors and their priority. Based on the uncorrelated factors priority suggestion from the PCA, catchment units were classified as high, moderate, or low categories based on their dominance in the relationship among the factors. These spatial variations in the environmental factors can help to assess the sustainability of resources in the Himalayan catchment.
CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION FOR DISASTER RISK MANAGEMENT
Authors: Velev D. , Zlateva P.
Published: April 2023

Abstract. Artificial Intelligence (AI) has the potential to play a significant role in disaster risk management – from predicting disasters to optimizing response efforts. However, its application in disaster management also presents significant challenges. These challenges include the need for high-quality and diverse data, compatibility with existing systems and technologies, ethical and social implications, and ongoing research and development. In addition, data privacy and security is a critical issue as the use of AI in disaster management often involves the collection and analysis of sensitive information. Addressing these challenges is crucial to ensuring that AI is developed and used in ways that are fair, equitable, and effective in reducing the impact of disasters. The aim of the paper is to provide an analysis of challenges of artificial intelligence application for disaster risk management.