bluuebunny/crossref_metadata_2025 huggingface dataset:
Age Estimation among 12-18 Years Children by Studying the Ossification Centers of Hip Joint and Pelvis
Authors: R.K Punia  , Suresh Kumar Kajala  , Siddharth Vijay Vergia  , Dipender Singh
Published: January 2024

Background: Bone age is an indicator of the skeletal and biological maturity of an individual. Skeletal ossification progression studies are one of them and are admissible in court as unparalleled scientific evidence for age estimation. Age group of juveniles between 12 - 18 years is dealt with special laws for medico- legal cases.Aims & Objective: To observe age of appearance and fusion of ossification centers of hip joint and pelvic bone in adolescent population of Jaipur.Material & Methodology: An observational prospective study that used inclusion and exclusion criteria wasconducted. Healthy Adolescents of 12-18 years of age group from Jaipur were taken in the study. The presentstudy had been conducted in the Department of Forensic Medicine & Toxicology, SMS Hospital, Jaipur withDepartment of Radiology, SMS Medical College and Attached Hospitals, Jaipur during the period from June 2021to May 2022.Result & Observation: Appearance of triradiate cartilage was found earliest at the age of 12 – 13 years in bothsexes, complete fusion was found earliest at the age 13 - 14 years in females and 14 – 15 years in males. Appearance of ossification centre of Ischial Tuberosity was found earliest at the age of 12 – 13 years in males and females; old fusion is earliest found at the age of 17 - 18 years in females and was not found in males. Appearance of ossification centre of Iliac Crest was found earliest at the age of 12 – 13 years in males and females; old fusion is earliest found at the age of 17 - 18 years in both male & females. Appearance of ossification centre of Pubis was found earliest at the age of 12 – 13 years in males and females; old fusion is earliest found at the age of 17 - 18 years in females and was not found in males.Conclusion: Appearance and fusion of ossification centers for hip joint & pelvis joint can be implemented inroutine forensic practice for 12 – 18 years age group to opine about age of subjects with lesser age range.
Retrospective Observational Study on Relevance of Delayed Clinical Examination in Cases of Sexual Assault Survivor
Authors: Hemant Shandilya  , Anil yadav  , Sandeep  , Deepali Pathak  , D.K. Sharma
Published: January 2024

Rape is a heinous crime that can have devastating effects on the survivor, The immediate medical examination and treatment of a rape survivor are crucial for their well-being and to-gather the necessary evidence to strengthen the case. Proper evidence collection is important for a successful legal prosecution. The earlier a survivor arrives for evaluation in the emergency department, the greater the chance of obtaining critical forensic evidence such as DNA samples. When patients delay presentation, or shower and change their clothes, relevant microscopic and macroscopic evidence is often lost. Evidence collection, including injury documentation, becomes less fruitful as time passes and tissue heals. Medical documentation has been shown to be positively associated with filing of charges and conviction. A Retrospective analysis of 67 cases of sexual assault examined at Department of Forensic Medicine at SMS medical college from 1st Jan to 31st Oct, 2020 was done, The clinical findings of the survivors were correlated to the time duration elapsed between incidence and medico-legal examination for all cases. 15 out of 67 cases (22%) were reported within 72 hrs; out of which 9 (60%) cases had corroborative clinical findings, 45 (67%)cases, who had reported later than 7 days only 1 (2%) had corroborative clinical findings. delayed reporting is most common hurdle for corroboration of material evidence and alleged accusation in these cases, The correlation of time of examination and clinical findings, in the present study, questions the relevance of mandatory medical examination in all cases.
Comparative Evaluation of Odontometric Parameters for Determining Gender
Authors: Rajeshkumar R Bhoot  , Vanrajsinh K Rathva
Published: January 2024

Background and Aim: Sex estimate is a crucial component of human identification in a forensic setting. Due to the sexual dimorphism of human teeth, odontometrics—the measuring and analysis of tooth size standards—is most frequently utilized in age and sex determination. The aim of this study was to assess the degree of sexualdimorphism in mandibular canine using mandibular canine index using mesiodistal (MD) and buccolingual (BL)dimensions of the crown and inter canine distance measured.Material and Methods: The study sample included 200 people (100 men and 100 women), ages 18 to 35, withan average age of 22 years. The distance between the mesial and distal contact points was used to calculate the mesiodistal dimension of the mandibular canine (CMD). Each subject’s right mandibular canine index and left mandibular canine index were used to construct the canine index. The standard canine index (SCI) value was used as a cutoff point to differentiate males from females.Results: Men’s right and left mandibular canines mesio-distal crown widths were found to be significantly greater than those of their female counterparts. The current study demonstrates a very high significance of p value seen in the left mandibular canine and a significant difference in mesiodistal breadth between males and females of the right mandibular canine of p value. The total probability of sex determination for the right mandibular canine is 55% and for the left canine is 59.5% based on the conventional MCI calculations for the right mandibular canine (0.22) and for the left mandibular canine (0.21), suggesting that the left mandibular canine is more relevant for sex determination.Conclusion: It has been proven beyond a reasonable doubt that mandibular canines exhibit significant sexual dimorphism when it comes to sex determination, and it is clear from the study that this breed is a more trustworthy source for sex determination.
Comparative Soil Analysis from Different Crime Prone Areas of Kottayam and Kollam Districts of Kerala for Forensic Characterization
Authors: Elsa Kurian  , Pooja Rana  , Lav Kesharwani
Published: January 2024

Soil is the loose surface material that covers land on which plants grow. It consists of a mixture of organic remains, clay, and rock particles, which gives it its uniqueness from place to place. Because of the uniqueness of soil, it has a high evidential value in the field of forensic science. In the present study, research has been conducted to check the range of variations in the soil collected from different crime-prone areas of Kottayam and Kollam districts of Kerala by physical, chemical, microscopic, and instrumental examination. In physical examination, soil colour, texture, consistency, and density were measured, and in chemical examination, pH and total soluble sulphate of the soil were measured. In instrumental examination, Heavy metal analysis was done by using Atomic Absorption Spectrometry (AAS), which helps to measure the amount of trace elements present in the soil. The study found that each soil has some significant variations that make it unique. In the field of forensic science, this can be highly helpful in determining the origin of soil by examining its colour, texture, structure, content, etc.
Correlation of Canine Height to Overall Facial Height: An Observational Study
Authors: Revati Keluskar  , Namrata Patil  , Anjana Bagewadi
Published: January 2024

Background: Identifying individuals by determining their body parameters plays a major role in criminalinvestigation. These parameters play an integral role in the identification of a person. Teeth, particularly canines,can help in identification, as they are the most stable teeth in the oral cavity because of the labiolingual thickness of the crown and root anchorage in the alveolar process.Aim: To establish a relationship, if any between the crown length of the maxillary canine tooth and the facialheight of an adult individual and intersex differences.Materials and methods: This study was conducted at a dental college where patients reported for treatment. The study group comprised 100 participants (50 men and 50 women, aged 18-23 years. To measure the facial height,photographs were taken and analyzed using Adobe Photoshop software. The face was divided into the upper,middle and lower thirds considering the hairlines, glabella, subnasalis, and menton as reference points. The length between the hairline and glabella is the upper facial height (UFH), that between the glabella and subnasalis is the middle facial height (MFH), and that between the subnasalis and menton is the lower facial height (LFH). For tooth measurements, impressions of the upper arches were made using alginate and dental stone casts were obtained. The length between the cervical line and cusp tip is the canine height(CH) and the mesiodistal length is the canine width(CW). Measurements of teeth were recorded using digital verniercalliper. Statistical analysis was performed using Statistical Package for the Social Sciences software (SSPS) version 16. The Mann-Whitney U test was used to determine the correlation between facial height and canine height.Results: Total Facial Height (TFH), Canine Height (CH), Canine Width (CW) in males and females was done using descriptive statistics. This study demonstrated a correlation between TFH and CH in both men and women. This study showed that, as TFH increased, CH also increased. Therefore, TFH and CH were directly proportional, and hence there was a correlation between TFH and CH.Conclusion: The total facial and canine heights are directly proportional to each other. There is a correlationbetween the facial height and canine height.
Nanoteknolojinin Tıp ve Mühendislik Uygulamaları
Authors: Nas Mehmet Salih , Gür Fatma , Oğul Hayri , Naldemir İbrahim Feyyaz , Vejselova Sezer Canan , Cengiz Mustafa , Selimoğlu Faysal , Akın İlker , Ayhan Muhammed Emre
Published: January 2024

-
Evaluation of the Usability of Social Media in Education in Türkiye with Machine Learning
Authors: PARLAKKILIÇ Alaattin
Published: January 2024

This study aims to examine students' views on the usability of social media sites. University students were given a questionnaire with five-point Likert scale questions in order to learn about their demographics and the usability of social media platforms in terms of ease of learning, effectiveness, memorability, fault tolerance, and satisfaction for social media platforms. It was determined that participants of 34.6% to use Facebook, 36.2% to use Twitter, 90% to use Instagram, 10.8% to use Linkedin, and 93.8% to use YouTube. All usability dimensions for Facebook, Instagram, LinkedIn, and Youtube have been shown to be identical. While participant error tolerance varies for Twitter, other factors have no bearing on the usability dimension. At the end of the research, the usability of Youtube was rated 3.44 (68.8%), that of Twitter 3.45 (69.0%), Facebook 3.44 (68.8%), Instagram 3.42 (68.4%), and LinkedIn 3.32 (66.4%). 3.42 (68.4%) was the overall usability score for social media platforms. Social networking networks' usability is just above 68 on the System Usability Scale, which is considered borderline. It is necessary to increase the usability of all social media platforms so that people may utilize them more effectively. It is important to make sure that students are using social media networks as an effective teaching tool. Additionally, it's important to educate pupils about the dangers of social media and the safety measures that can be implemented. They should also be taught how to use social media and the internet safely, and they should monitor what the pupils do there.
Helicteres ubonensis (Malvaceae), a new species from Thailand
Authors: Kantachot C. , Chantaranothai P.
Published: January 2024

A new species, Helicteres ubonensis from Thailand, is described and illustrated. The new key to 12 species of Thai Helicteres is provided.
Integrating Noncommunicable Diseases into Antenatal Care in Cameroon: A Triangulated Qualitative Analysis
Authors: Yeika Eugene , Kocher Erica L. , Ngongo Carrie
Published: January 2024

Noncommunicable diseases (NCDs) have important implications for pregnancy outcomes and the subsequent health of women and their children. The aim of this study is to determine the status of NCD and maternal health program integration, identify barriers to integration, and explore what would be required to deepen integration of NCD care into antenatal care in Cameroon. We used two methods of data collection and synthesis: a desk review of policy documents and protocols and a series of key informant interviews with health system experts and managers working in public, private, and faith-based health facilities at central, regional, and district levels. Although screening for blood glucose and blood pressure occurs during antenatal care, post-diagnosis management is not well-integrated and often requires referral to specialists in higher-level health facilities. Key barriers to integration include lack of guidelines for the management of NCDs, financial constraints for facilities and patients, and shortages of health workers, medications, and supplies for laboratory investigations. Further integration of services for NCDs during pregnancy will require national guidelines backed up by system-wide strengthening of health information systems, insurance coverage, supply chain management, and human resource capacity, particularly in remote areas.
Enhancing Smart Farming Capabilities for Small-Scale Cattle Farmers in Chiang Rai, Thailand
Authors: Umsura Bunyarat , Chaidee Kamonlak , Puansurin Kingkan , Manoruang Dueanpen , Wimooktayone Pornthipat , Boontasri Kanjana , Kaenmueng Wisoot
Published: January 2024

This research aims to develop an IoT-driven smart farming system for beef cattle management in Chiang Rai Province, Thailand. The system empowers small-scale farmers by enabling precise criteria for cattle care, optimized feeding, growth monitoring, breeding analysis, and cost estimation through WSN and cloud-based platforms. The sensors gather raw data on consumption from the feeding troughs and then transmit it to the cloud-based platform. Consumption data is then analyzed using Linear Regression Analysis. Key findings indicate a substantial correlation (0.995) between feed quantity and cattle weight gain, with a predictive capability of 99%. This system enhances precision and decision-making in cattle farming, offering significant benefits to small-scale farmers in the region.
Projection invariant

t

-Baer and related modules
Authors: Kara Yeliz
Published: January 2024

UDC 512.5
We investigate the concepts of projection invariant

t

-extending modules and projection invariant

t

-Baer modules, which are generalized to those

π

-extending and

t

-Baer notions, respectively. Several structural properties are obtained and some applications are developed. It is proved that the

π

-

t

-extending modules and 

π

-

t

-e. Baer modules are connected with each other. Moreover, we obtain a characterization for

π

-

t

-extending modules relative to the annihilator conditions.
Some Tauberian theorems for the weighted mean method of summability of double sequence
Authors: Totur Ümit , Çanak İbrahim
Published: January 2024

UDC 517.5
Let

p
=

(

p
j

)

and

q
=

(

q
k

)

be real sequences of nonnegative numbers with the property that

P
m

=

∑

j
=
0

m

p
j

≠
0

and

Q
n

=

∑

k
=
0

n

q
k

≠
0

for all

m

and

n
.

Let

(

P
m

)

and

(

Q
n

)

be regulary varying positive indices. Assume that

(

u

m
n

)

is a double sequence of complex (real) numbers, which is

(

N
¯

,
p
,
q
;
α
,
β
)

summable with a finite limit, where

(
α
,
β
)

=

(
1,1
)

,

(
1,0
)

, or

(
0,1
)

.  We present some conditions imposed on the weights under which  

(

u

m
n

)

converges in Pringsheim's sense.  These results generalize and extend the results obtained by authors in [Comput. Math. Appl., 62, No. 6, 2609–2615 (2011)].
Smooth rigidity for higher-dimensional contact Anosov flows
Authors: Gogolev Andrey , Hertz Federico Rodriguez
Published: January 2024

UDC 515.12
We apply the technique of matching functions in the setting of contact Anosov flows satisfying a bunching assumption. This allows us to generalize the 3-dimensional rigidity result of Feldman and Ornstein [Ergodic Theory Dynam. Syst., 7, No. 1, 49–72 (1987)]. Namely, we show that if two Anosov flow of this kind are

C
0

conjugate, then they are

C
r

conjugate for some

r
∈

[
1,2
)

or even

C
∞

conjugate under certain additional assumptions. This, for example, applies to geodesic flows on compact Riemannian manifolds of

1
/
4

-pinched negative sectional curvature. We can also use our result to recover Hamendstўаdt's marked length spectrum rigidity result for real hyperbolic manifolds.
Inferring Stellar Parameters from Iodine-imprinted Keck/HIRES Spectra with Machine Learning
Authors: Gussman Jude , Rice Malena
Published: January 2024

The properties of exoplanet host stars are traditionally characterized through a detailed forward-modeling analysis of high-resolution spectra. However, many exoplanet radial velocity surveys employ iodine-cell-calibrated spectrographs, such that the vast majority of spectra obtained include an imprinted forest of iodine absorption lines. For surveys that use iodine cells, iodine-free “template” spectra must be separately obtained for precise stellar characterization. These template spectra often require extensive additional observing time to obtain, and they are not always feasible to obtain for faint stars. In this paper, we demonstrate that machine-learning methods can be applied to infer stellar parameters and chemical abundances from iodine-imprinted spectra with high accuracy and precision. The methods presented in this work are broadly applicable to any iodine-cell-calibrated spectrograph. We make publicly available our spectroscopic pipeline, the Cannon HIRES Iodine Pipeline, which derives stellar parameters and 15 chemical abundances from iodine-imprinted spectra of FGK stars and which has been set up for ease of use with Keck/HIRES spectra. Our proof of concept offers an efficient new avenue to rapidly estimate a large number of stellar parameters even in the absence of an iodine-free template spectrum.
Effect of Lupinus albus Conglutin Gamma Protein on Experimentally Induced Diabetes in Rats
Authors: Bhieldeen Marwa N. , Moustafa Yasser M. , Tawfik Afaf A. , Elsayed Sami M. , El-shaarawy Fatma F.
Published: January 2024

BACKGROUND: Early insulin resistance and a progressive loss of pancreatic β cell function combine to cause type 2 diabetes (T2D), which leads to insufficient insulin production followed by hyperglycemia. Purified from Lupinus albus seed, conglutin gamma (Cγ) is a protein that lowers blood sugar. The primary function of adipocytokines, hormones released by adipose tissue, is to alert important organs to maintain metabolic balance.
AIM: This study aimed to identify and compare the role of Cγ and glimepiride in controlling hyperglycemia, insulin secretion, insulin resistance, and hyperlipidemia in high-fat diet (HFD) and low-dose streptozotocin (STZ) induced diabetes in experimental rats.
METHODS: Male Sprague–Dawley rat groups were divided into seven groups; normal, Cγ control, T2D control, and four T2D groups which received Cγ (30, 60, and 120 mg/kg) and Glimepiride (0.1 mg/kg) treatments. RESULTS: Administration of Cγ successfully eliminated hyperglycemia and increased insulin secretion and sensitivity. In addition, when compared to (STZ+HFD) control rats, treatment with Cγ improved the expression of leptin, adiponectin, and their blood concentrations, as well as the activity of the enzyme chitotriosidase. It also significantly decreased the expression of apelin, nicotinamide phosphoribosyltransferase and RBP4.
CONCLUSION: The present data suggests that Cγ has an effective role in controlling hyperglycemia induced by diabetes through amelioration of leptin, adiponectin, lipid profile, and metabolic syndrome.
Multigene phylogeny and morphology reveal three new species of Cytospora isolated from diseased plant branches in Fengtai District, Beijing, China
Authors: Jia Aoli , Chen Baoyue , Lu Hongyan , Xing Yu , Li Bin , Fan Xinlei
Published: January 2024

Members of Cytospora include saprobes, endophytes and important plant pathogens, which are widely distributed on various wood hosts and have a wide global distribution. In this study, the species definitions were conducted, based on multigene phylogeny (ITS, act, rpb2, tef1-α and tub2 genes) and comparisons of morphological characters. A total of 22 representative isolates obtained from 21 specimens in Fengtai District of Beijing City were identified as seven species of Cytospora, including four known species (C. albodisca, C. ailanthicola, C. euonymina, C. haidianensis) and three novel species (C. fengtaiensis, C. pinea, C. sorbariae). The results provide an understanding of the taxonomy of Cytospora species associated with canker and dieback diseases in Fengtai District, Beijing, China.
Développer l’éthique et les comportements pro-environnementaux en EPS : une méthode mixte de recherche sur une étude interventionnelle de 8 mois
Authors: Urlacher-Schaal Anaëlle , Vors Olivier , Bouyat Marlène , Cante Gilian , Schnitzler Christophe
Published: January 2024

L’objectif de cet article est de présenter les effets d’un programme interventionnel sur l’évolution des attitudes environnementales des bénéficiaires. Soixante-dix enfants de 10,1±0,6 ans inscrits en zone d’éducation prioritaire REP+ ont été séparés en un groupe test (n=42) et un groupe témoin (n=28). Le groupe test a bénéficié d’un programme d’éducation en plein air combinant Forest School et programme d’éducation à l’aventure au cours de l’année scolaire. Le questionnaire psychométrique de Bogner (2018) a permis de catégoriser les attitudes environnementales des enfants selon trois profils (anthropocentré, neutre, écocentré), et les paragons de chacune des catégories ont été interrogés à trois reprises à l’aide d’entretiens d’autoconfrontation. Les résultats quantitatifs ne montrent pas d’évolution significative durant le programme, cependant les entretiens énactifs suggèrent le renforcement des velléités de protection de la nature dans les trois profils. En revanche, les scores d’appréciation de la nature ont diminué chez les élèves écocentrés et neutres, comme si le contact régulier avec la nature était un défi pour ces élèves qui les amenait à moins l’apprécier. Le programme d’intervention Ecolo’coteaux offre un aperçu des avantages potentiels des programmes d’éducation en plein air pour promouvoir la sensibilisation à l’environnement et favoriser une meilleure compréhension du monde naturel.
Uniform in number of neighbors consistency and weak convergence of $ k $NN empirical conditional processes and $ k $NN conditional $ U $-processes involving functional mixing data
Authors: Bouzebda Salim , Nezzal Amel
Published: January 2024

$ U $-statistics represent a fundamental class of statistics arising from modeling quantities of interest defined by multi-subject responses. $ U $-statistics generalize the empirical mean of a random variable $ X $ to sums over every $ m $-tuple of distinct observations of $ X $. Stute [182] introduced a class of so-called conditional $ U $-statistics, which may be viewed as a generalization of the Nadaraya-Watson estimates of a regression function. Stute proved their strong pointwise consistency to: $ r^{(m)}(\varphi, \mathbf{t}): = \mathbb{E}[\varphi(Y_{1}, \ldots, Y_{m})|(X_{1}, \ldots, X_{m}) = \mathbf{t}], \; \mbox{for}\; \mathbf{ t}\in \mathcal{X}^{m}. $ In this paper, we are mainly interested in the study of the $ k $NN conditional $ U $-processes in a functional mixing data framework. More precisely, we investigate the weak convergence of the conditional empirical process indexed by a suitable class of functions and of the $ k $NN conditional $ U $-processes when the explicative variable is functional. We treat the uniform central limit theorem in both cases when the class of functions is bounded or unbounded satisfying some moment conditions. The second main contribution of this study is the establishment of a sharp almost complete Uniform consistency in the Number of Neighbors of the constructed estimator. Such a result allows the number of neighbors to vary within a complete range for which the estimator is consistent. Consequently, it represents an interesting guideline in practice to select the optimal bandwidth in nonparametric functional data analysis. These results are proved under some standard structural conditions on the Vapnik-Chervonenkis classes of functions and some mild conditions on the model. The theoretical results established in this paper are (or will be) key tools for further functional data analysis developments. Potential applications include the set indexed conditional U-statistics, Kendall rank correlation coefficient, the discrimination problems and the time series prediction from a continuous set of past values.
Isometric mapping algorithm based GNSS-R sea ice detection
Authors: Hu Yuan , Jiang Zhihao , Yuan Xintai , Hua Xifan , Liu Wei
Published: January 2024

Global navigation satellite system reflectometry (GNSS-R) is based on satellite signals' multipath interference effect and has developed as one of the important remote sensing technologies in sea ice detection. An isometric mapping (ISOMAP)-based method is proposed in this paper as a development in sea ice detection approaches. The integral delay waveforms (IDWs), selected from February to April in 2018, derived from TechDemoSat-1 (TDS-1) Delay-Doppler maps (DDMs) are applied to open water and sea ice classification. In the first, the model for extracting low-dimensional coordinates of IDWs employs the randomly selected 187666 IDW samples, which are 30% of the whole IDW dataset. Then, low-dimensional coordinates of IDWs are used to train three different classifiers of support vector machine (SVM) and gradient boosting decision tree (GBDT), linear discriminant algorithm (LDA) and K-nearest neighbors (KNN) for determining the sea ice and sea water. The remaining 437889 samples, about 70% of the whole datasets, are used to validate with the ground surface type from the National Snow and Ice Data Center (NSIDC) data provided by the National Oceanic and Atmospheric Administration (NOAA). The algorithm performance is evaluated, and the overall accuracy of SVM, GBDT, LDA and KNN are 99.44%, 85.58%, 91.88% and 98.82%, respectively. The sea ice detection methods are developed, and the accuracy of detection is improved in this paper.
Fast algorithm for cleaning highly noisy measurement data from outliers, based on the search for the optimal solution with the minimum number of rejected measurement data
Authors: Bezmenov Igor V.
Published: January 2024

In this article, I discuss the problem of automatic detection of coarse measurements (outliers) in the time series of measurement data generated by technical devices. Solving this problem is of great importance to improve the accuracy of estimates of various physical quantities obtained in solving many applications in which the input data is observations. Since outliers adversely affect the accuracy of final results, they must be detected and removed from further calculations at the stage of data preprocessing and analysis. This can be done in various ways, since the concept of outliers does not have a strict definition in statistics. The author of the article previously formulated the problem of finding the optimal solution that satisfies the condition of maximizing the amount of measuring data that remained after removal of outliers and proposed a robust algorithm for finding such a solution. The complexity of this algorithm is estimated of the order of magnitude $ (N+{N}_{out}^{2}) $, where N is the number of source data and Nout is the number of outliers detected. For highly noisy data, the number of outliers can be extremely large, for example, comparable to N. In this case, it will take about N2 arithmetic operations to find the optimal solution using the algorithm developed earlier. I propose a new algorithm for finding the optimal solution, requiring the order of NlogN arithmetic operations, regardless of the number of outliers detected. The efficiency of the algorithm is manifested when cleaning from outliers large amounts of highly noisy measuring data containing a great many of outliers. The algorithm can be used for automated cleaning from outliers of observation data in information and measuring systems, in systems with artificial intelligence, as well as when solving various scientific, applied managerial and other problems using modern computer systems in order to obtain promptly the most accurate final result.
Introduction: The (In)visibility of Multi-locality in Theory and Practice
Authors: Bajuk Senčar Tatiana
Published: January 2024

This article maps out multi-locality as an interdisciplinary field of study and presents the state of current research on multi-locality in Slovenia, including a brief discussion of the author’s own research. In this context, the author also addresses the issue of the visibility of multi-locality, both in the realm of theory as well as in the sphere of practice.
Multi-local Living in Mazowieckie Province: Specificity and Universality of an Underestimated Phenomenon
Authors: Jaczewska Barbara Dominika
Published: January 2024

This article examines the practices of multilocal residents of the Mazovian Voivodship. The research focuses on spatiotemporal arrangements, motives, activities, and the perceived influence of multilocal living arrangements. Analyses are based on selected materials obtained from semi-structured, problem-oriented interviews, which were conducted in 2022 as part of the preliminary research (n=11), and an online survey on a representative group of inhabitants of Mazovian Voivodship (n=996).
La re-traducció catalana de les sensacions auditives en l’obra de Marcel Proust
Authors: Gaillard Francesch Valèria
Published: January 2024

Partant du constat que Marcel Proust définit l’écriture comme traduction dans le dernier volume de son cycle romanesque, Le temps retrouvé, et place ainsi métaphoriquement la tâche de traduction au centre de son art poétique, cet article suggère que, selon cette perspective, toute traduction de son œuvre peut être conçue comme une re-traduction, c’est-à-dire la traduction d’une traduction. C’est une re-traduction qui doit respecter les mêmes critères énoncés dans la théorie implicite de la traduction de Marcel Proust. Si pour Proust écrire est traduire l’expérience, comprise comme un flux d’impressions de toutes sortes, il faut aborder la traduction d’À la recherche du temps perdu en accordant une attention particulière à cet aspect. Parmi les différentes sensations, les auditives jouent un rôle fondamental en raison de leur qualité spécialement durable. Nous analyserons certains des passages les plus représentatifs de notre propre traduction catalane A la recerca del temps perdut, éditée chez Proa.
Assessment of Machine Learning Techniques for Improving Agriculture Crop Production
Authors: Kumari Jayanti , Kumari Khushbu , Sinha Ashish
Published: January 2024

In an agricultural country like India, planning and execution play an essential role in upsurging productivity with minimal cost. Crop production is based on different parameters like soil, moisture, temperature, rainfall, seeds, seasons, and crop production planning. Various parameters play crucial roles in crop production and in improving farmer economic situations. The data mining concept has come into the picture for a better understanding of the crop market. In this chapter, different machine learning methods are being analyzed to showcase the application and importance of applying machine learning tools in the improvement of crop production. The research continues with the requirement of kinds of fertilizers and pesticides, types of crops produced as per the soil type, and Rabi and Kharif crops distinction for different seasons. The chapter critically examines the machine learning techniques for crop production. The research will provide a framework for researchers in the agricultural and technology sectors to understand crop production.
Evolution of the Legal Status of Oceanographic Data Management in Europe
Authors: Wulff Enrique
Published: January 2024

This chapter provides an overview of ocean data legislation in the context of EU maritime policy. Its analyses give an insight into the implementation of the regulations, directives, decisions, and recommendations that address the European Union's approach to the management of its ocean resources. Methods adopted by European legislators to foster collaboration and innovation and harness ocean data to inform policymakers and other stakeholders are discussed. It provides an overview of how the EU has adapted its legal framework to the changing landscape of data management in ocean research and resource management. This insight is given within the specific geographical context of the European Atlantic and Mediterranean regions, allowing readers to understand how these legal responses to the data revolution impact their seas. This chapter could be a valuable resource for those interested in the particular interplay between regulations, data, and the changing landscape of fisheries management in the European Union.
Application of Knowledge Sharing Decision Model Based on Computer-Aided System in Student Education Management Platform
Authors: Qiu Yahui , Fang Jinqiang
Published: January 2024

The knowledge-sharing, decision-making model can not only combine the two processes but also improve the teaching quality and students' learning achievements. However, the existing knowledge-sharing, decision-making model has many shortcomings. Therefore, for this article the authors applied the computer-aided instruction (CAI) system to the knowledge-sharing decision model and compared it with the traditional knowledge-sharing decision model. They compared and analyzed the application effects of the two processes in the student education management platform, and the experimental comparison was made from the perspective of curriculum and students. When the authors used the traditional knowledge-sharing decision model, the average score of the five people in the course A exam was 78.2. After they used the knowledge-sharing decision model based on the computer-aided instruction system, the average score of the five people in the course A exam was 85.4. Obviously, the knowledge-sharing, decision-making model based on the CAI system can effectively improve students' academic performances.
Users and Gratification Theory Approach to Understand Why People Use Digital Media Mainly During Lockdown
Authors: Sabharwal Dhruv
Published: January 2024

This article seeks to find the uses and gratification that consumers receive by using digital media during the lockdown when there is a situation of Covid. This article tries to provide a more comprehensive understanding of why consumers use digital media. Exploratory research was conducted. In-depth interviews were conducted with over 30 individuals who use social media or digital media during the lockdown. This study identified eight implications of uses and gratifications for using digital media. They are social interaction, seeking information, time-pass, entertainment, relaxation, expression of opinion, information sharing, and knowledge about others.
Implementing and Assessing a Teaching Mode Based on Smart Education in English Literature Teaching
Authors: Hu Yeting , Fang Chuanzhi , He Xin , Wu Jinhua
Published: January 2024

This study addresses the problems in traditional English literature teaching methods for Chinese English majors, proposing a new teaching approach based on smart education concepts to enhance learning effectiveness. An evaluation of a semester-long reform in teaching methods is conducted using a quantitative methodology. The findings reveal significant differences in learning outcomes between the experimental and control classes, suggesting the new model's positive influence on student academic performances. Machine learning algorithms are also used to analyze student classroom behavior, indicating a significant increase in active engagement. In conclusion, students' learning outcomes, as well as engagement, can be substantially improved by integrating smart education techniques into English literature instruction.
Healthcare seeking behavior for acute illnesses among adult Aborigine communities (Orang Asli) in Cameron Highlands, Malaysia: a house-to-house survey
Authors: Ganesan Danaletchumy , Hussain Sumaira , Sreeramareddy Chandrashekhar T.
Published: January 2024

Indigenous people often have poor health due to a lack of access to health care. We studied healthcare-seeking behaviors and associated factors of Orang Asli populations living in remote hilly areas of Peninsular Malaysia. A house-to-house survey was done in 11 of 28 randomly selected villages. A sample of 225 Adults aged 18 years and above were interviewed about healthcare-seeking behavior for an episode of illness 30 days before the survey date. Factors associated with appropriate healthcare-seeking behavior as determined by binary logistic regression analyses. More than a third of the Orang Asli adults (88/225) did not consult any healthcare provider (39%) for which ‘illness does not need treatment’ or ‘not sick enough’ (22%) and no transportation (12%) were the main reasons. Being of older age (aOR 0.95, 95%CI 0.9, 0.98), income higher than 500 Malaysian Ringgits per month (aOR 2.35, 95%CI 1.04, 5.39), perception of illness as ‘severe’(aOR 54.79 95% CI 12.61, 239.9), and closer distance of health facility (aOR 0.86 95% CI 0.81, 0.93) were associated with appropriate healthcare-seeking behavior. Health promotion campaigns are needed to improve awareness about common illnesses and improve care-seeking behavior.
SARS-CoV-2 vs Streptococcus pneumoniae: a comparison of clinical features, laboratory findings, and clinical outcomes in patients hospitalized at Alessandria’s General Hospital
Authors: Megna Iacopo , Penpa Serena , Cassinari Antonella , Leli Christian , Rocchetti Andrea , Roveta Annalisa , Betti Marta , Maconi Antonio
Published: January 2024

Aims: the aim of the present study was to compare the clinical, anamnestic, and laboratory features and outcomes of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pneumonia and pneumonia caused by Streptococcus pneumoniae in hospitalized patients at the General Hospital of Alessandria, Italy. Materials and Methods: radiological diagnosis of pneumonia by chest X-ray and/or chest Computed Tomography (CT); microbiological diagnosis of SARS-CoV-2 infection by nasopharyngeal swab Reverse Transcriptase - Polymerase Chain Reaction (RT-PCR), etiological diagnosis of S. pneumoniae pneumonia by positive urinary antigen detection and/or isolation of S. pneumoniae from respiratory and/or blood cultures. Results: 222 patients were included, 171 with SARS-CoV-2 pneumonia and 51 with S. pneumoniae. SARS-CoV-2 group most frequently treated with antiviral drugs: 139/171 (81.3%) vs 1/51 (2.1%); p<0.001; they often needed oxygen therapy: 142/171 (83%) vs 27/51 (56.3%); p<0,001; and non-invasive mechanical ventilation: 59/171 (34.5%) vs 7/51 (14.6%); p=0.004. Mortality was higher in SARS-CoV-2 pneumonia patients: 46/171 (26.9%) than in pneumococcal pneumonia patients 5/51 (9.8%); p=0.011. Conclusions: the study showed the increased prevalence of pneumonia caused by SARS-CoV-2 and S. pneumoniae in males than in females. Moreover, patients with SARS-CoV-2 pneumonia represent higher risk group for complications and death than S. pneumoniae.
Efficacy of pulmonary rehabilitation plus chest physiotherapy versus chest physiotherapy alone in patients with bronchiectasis
Authors: Abdo Asmaa M , Elsaadany Hanan M , El dib Ayman S , Elkholy Amira A , Bahr Hoda M
Published: January 2024

Context

Bronchiectasis is a chronic airway disease characterized by cough, dyspnoea, expectoration, and poor quality of life. Besides medical treatment, regular chest physiotherapy and Pulmonary rehabilitation (PR) may be an effective approach for bronchiectasis.

Aims

To compare the effects of PR and chest physiotherapy with chest physiotherapy alone in bronchiectasis.

Settings and design

This randomized controlled trial observational research enrolled 40 cases with bronchiectasis who were categorized into two groups: (group I); 20 cases received PR and chest physiotherapy in addition to medical treatment, (group II): 20 cases received chest physiotherapy in addition to medical treatment.

Methods and material

Cases were assessed with modified borg scale, 6-minute walk test (6-MWT), arterial blood gases, Spirometry and underwent PR program.

Statistical analysis used

The same group’s quantitative data were compared using the paired Student’s t-test. The frequency and percentage (%) of qualitative characteristics were displayed.

Results

In (group I), there was a statistically notable improvement in modified Borg Scale, 6-MWT, arterial oxygen pressure (PaO2), partial pressure of carbon dioxide (PaCO2), arterial oxygen saturation, FEV1 (actual and predicted %values), FVC (actual and predicted %values), FEV1/FVC actual value, sputum volume and training intensity. In (group II) there was a statistically notable improvement in 6-MWT, PaO2, PaCO2, FEV1 (actual and predicted %values), FVC (actual and predicted %values), FEV1/FVC actual value, and sputum volume. The percentage of improvement in all parameters was significantly higher among group (I).

Conclusions

PR in addition to chest physiotherapy is superior to chest physiotherapy alone in the improvement of symptoms and exercise tolerance in bronchiectasis.
Overexpression of estrogen receptor beta and its prognostic significance among malignant pleural mesothelioma patients
Authors: Helali Mariam , Abdelmotal Ahmed , Gobran Nagy S , El Ghazaly Hesham , El Mahdy Manal , Karim Khaled A
Published: January 2024

Background

The overexpression of estrogen receptor beta (ERβ) and its correlation with prognosis of malignant mesothelioma remains controversial and unexplored. This study aimed at studying ERβ expression in tumour tissue in patients with pleural mesothelioma and its association with clinical and pathological factors and survival analysis.

Material and methods

A prospective cohort study was conducted on patients who were diagnosed with malignant pleural mesothelioma (MPM) in Ain Shams university hospitals, the primary end point was to correlate ERβ overexpression that was analysed by immunohistochemistry (IHC) on paraffin tissue blocks with 1-year overall survival (OS) among MPM patients, the secondary endpoint was to correlate ERβ overexpression with 1-year progression free survival (PFS) and response to platinum-based chemotherapy among MPM patients.

Results

A total 42 MPM patients were included, High ERβ expression (modified Allred score 7-9) was reported in 9.5% of the patients (4 cases), moderate expression (modified Allred score 4-6) was reported in 28.6% of the patients(12 cases), weak and negative expression ( modified Allred score 0-3) was reported in 61% of the patients(26 cases), percent of ERβ positive cases was 69% of the total patients, there was no statistical difference as regard age (p value:0.8), sex(p value:0.4), stage (p value: 0.71), ECOG (p value :0.84) , histological subtype(p value:0.17) and response to platinum based treatment (p value:0.5) across the 3 groups of patients (high, moderate , weak and negative ER beta on tumour tissues).there was no statistically significant difference in OS and PFS for ERβ overexpression.

Conclusion

The overexpression of ERβ was not associated with improved OS or PFS in mesothelioma patients, despite high rate of ERβ positive cases in our analysis, larger sample size would be recommended for more solid conclusions
Assessment of association between interleukin 6 gene variant and its serum level in chronic obstructive pulmonary disease in a sample of Egyptian population
Authors: Ashraf Hala , Ramzi Tarek Abdelazim , Mostafa Noha Baghdadi , Ismaael Mohammed Saied , Ashraf Amr , Abdelaal Amaal Abdo , Mousa Mohamed Shaaban
Published: January 2024

Background

Researches in chronic obstructive pulmonary disease (COPD) had shown signs of inflammation with inflammatory markers that had pivotal role in COPD. some studies proposed that elevated serum interleukin-6 (IL-6) is associated with negative impact on lung functions but up to our knowledge, no studies were performed to correlate the genotypes of IL-6 with COPD patients in Egyptian and middle east populations.

Objectives

To study both the correlation of serum level of IL-6 as well as its gene variant (also known as G174C)) as possible genetic marker for COPD patients in Egyptian patients.

Materials and methods

This study is case-control that enrolled ninety participants; it consisted of two groups. Group I included 45 patients who were diagnosed as stable COPD; Group II included 45 healthy participants. After full clinical and pulmonary functions assessment of all participants, blood samples were collected from both groups for the detection serum level of IL-6 by ELISA and the detection of
IL6
variant by TaqMan Real-Time PCR.

Results

Our study revealed that there was statistically significant increase in serum level of interleukin-6 in COPD patients compared to normal individuals (P value <0.001) and the presence of G/G variant of interleukin 6 gene in COPD patients more than normal subjects with frequency of 84.4% and 53.3% for COPD patients and healthy controls respectively. There was significant correlation between the serum level of interleukin-6 and COPD staging (P value <0.007).

Conclusion

The genotype GG variant of IL6 contributes to the prediction of COPD and may be used as a marker for the prediction of COPD risk in Egyptian population. Serum level of IL6 is markedly higher in COPD patients and can be used as a parameter of correlation with COPD stages.
Comparative study of percutaneous tracheostomy versus standard surgical tracheostomy
Authors: Abo Ghanima Mahmoud M , El Kholy Amira A , El-Lawaty Walaa M , Zamzam Khaled M , Farhat Amgad A
Published: January 2024

Background

The tracheostomy is an oldest invasive procedure done for critically ill patients. Now, it is usually performed for better weaning and less risk of intubation-related complications either surgically intraoperative or percutaneous procedure which is easily performed at the bedside by an intensivist. The aim of this study is to compare between surgical and percutaneous tracheostomy (PT) in critically ill patients with prolonged ventilation who needed tracheostomy.

Methods

This randomized controlled study was done at the respiratory ICU - Chest Department, Operating Room of the Otorhinolaryngology Department at Tanta University Hospitals, and respiratory ICU Air Forces Hospital. 30 critically ill patients with prolonged mechanical ventilation were divided into two groups. Group I (15 patients) underwent surgical tracheostomy (ST) and group II (15 patients) underwent fiberoptic bronchoscopic-guided PT, from August 2020 to December 2021.

Results

30 patients were enrolled in this study. Neck circumference (cm) was significantly higher in surgical group (P = 0.013). Also, the most important is that the duration of procedure is shorter in percutaneous group (P < 0.001). Regarding delayed complications were insignificantly different between both groups except for stomal infection which was higher in surgical group (P = 0.042). Regarding secondary outcomes of the procedure, successful decannulation, permanent tracheostomy, and death due to primary disease were insignificantly different between the studied groups.

Conclusion

Percutaneous tracheostomy is safer, faster, time saving and less complicated than surgical tracheostomy.