bluuebunny/crossref_metadata_2025 huggingface dataset:
Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer
Authors: Ng Annie Y. , Oberije Cary J. G. , Ambrózay Éva , Szabó Endre , Serfőző Orsolya , Karpati Edit , Fox Georgia , Glocker Ben , Morris Elizabeth A. , Forrai Gábor , Kecskemethy Peter D.
Published: November 2023

Artificial intelligence (AI) has the potential to improve breast cancer screening; however, prospective evidence of the safe implementation of AI into real clinical practice is limited. A commercially available AI system was implemented as an additional reader to standard double reading to flag cases for further arbitration review among screened women. Performance was assessed prospectively in three phases: a single-center pilot rollout, a wider multicenter pilot rollout and a full live rollout. The results showed that, compared to double reading, implementing the AI-assisted additional-reader process could achieve 0.7–1.6 additional cancer detection per 1,000 cases, with 0.16–0.30% additional recalls, 0–0.23% unnecessary recalls and a 0.1–1.9% increase in positive predictive value (PPV) after 7–11% additional human reads of AI-flagged cases (equating to 4–6% additional overall reading workload). The majority of cancerous cases detected by the AI-assisted additional-reader process were invasive (83.3%) and small-sized (≤10 mm, 47.0%). This evaluation suggests that using AI as an additional reader can improve the early detection of breast cancer with relevant prognostic features, with minimal to no unnecessary recalls. Although the AI-assisted additional-reader workflow requires additional reads, the higher PPV suggests that it can increase screening effectiveness.
Machine learning molecular dynamics reveals the structural origin of the first sharp diffraction peak in high-density silica glasses
Authors: Kobayashi Keita , Okumura Masahiko , Nakamura Hiroki , Itakura Mitsuhiro , Machida Masahiko , Urata Shingo , Suzuya Kentaro
Published: November 2023

The first sharp diffraction peak (FSDP) in the total structure factor has long been regarded as a characteristic feature of medium-range order (MRO) in amorphous materials with a polyhedron network, and its underlying structural origin is a subject of ongoing debate. In this study, we utilized machine learning molecular dynamics (MLMD) simulations to explore the origin of FSDP in two typical high-density silica glasses: silica glass under pressure and permanently densified glass. Our MLMD simulations accurately reproduce the structural properties of high-density silica glasses observed in experiments, including changes in the FSDP intensity depending on the compression temperature. By analyzing the simulated silica glass structures, we uncover the structural origin responsible for the changes in the MRO at high density in terms of the periodicity between the ring centers and the shape of the rings. The reduction or enhancement of MRO in the high-density silica glasses can be attributed to how the rings deform under compression.
Deep learning workflow for the inverse design of molecules with specific optoelectronic properties
Authors: Yoo Pilsun , Bhowmik Debsindhu , Mehta Kshitij , Zhang Pei , Liu Frank , Lupo Pasini Massimiliano , Irle Stephan
Published: November 2023

The inverse design of novel molecules with a desirable optoelectronic property requires consideration of the vast chemical spaces associated with varying chemical composition and molecular size. First principles-based property predictions have become increasingly helpful for assisting the selection of promising candidate chemical species for subsequent experimental validation. However, a brute-force computational screening of the entire chemical space is decidedly impossible. To alleviate the computational burden and accelerate rational molecular design, we here present an iterative deep learning workflow that combines (i) the density-functional tight-binding method for dynamic generation of property training data, (ii) a graph convolutional neural network surrogate model for rapid and reliable predictions of chemical and physical properties, and (iii) a masked language model. As proof of principle, we employ our workflow in the iterative generation of novel molecules with a target energy gap between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO).
Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques
Authors: Abdallah Nassib , Marion Jean-Marie , Tauber Clovis , Carlier Thomas , Hatt Mathieu , Chauvet Pierre
Published: November 2023

This study aims to develop a robust pipeline for classifying invasive ductal carcinomas and benign tumors in histopathological images, addressing variability within and between centers. We specifically tackle the challenge of detecting atypical data and variability between common clusters within the same database. Our feature engineering-based pipeline comprises a feature extraction step, followed by multiple harmonization techniques to rectify intra- and inter-center batch effects resulting from image acquisition variability and diverse patient clinical characteristics. These harmonization steps facilitate the construction of more robust and efficient models. We assess the proposed pipeline’s performance on two public breast cancer databases, BreaKHIS and IDCDB, utilizing recall, precision, and accuracy metrics. Our pipeline outperforms recent models, achieving 90-95% accuracy in classifying benign and malignant tumors. We demonstrate the advantage of harmonization for classifying patches from different databases. Our top model scored 94.7% for IDCDB and 95.2% for BreaKHis, surpassing existing feature engineering-based models (92.1% for IDCDB and 87.7% for BreaKHIS) and attaining comparable performance to deep learning models. The proposed feature-engineering-based pipeline effectively classifies malignant and benign tumors while addressing variability within and between centers through the incorporation of various harmonization techniques. Our findings reveal that harmonizing variabilities between patches from different batches directly impacts the learning and testing performance of classification models. This pipeline has the potential to enhance breast cancer diagnosis and treatment and may be applicable to other diseases.
The change of healthcare service in Chinese patients with inflammatory bowel disease during the pandemic: a national multicenter cross-sectional study
Authors: Li Xiaofei , Wang Fang , Jia Yizhen , Zhou He , Shi Yanting , Tian Feng , Chen Yan , Liang Jie
Published: November 2023

The pandemic of COVID-19 was a major public health events and had a deeply impact on the healthcare acquired by patients with inflammatory bowel disease (IBD). The purpose of this study was to evaluate the long-term impacts on healthcare service in Chinese IBD patients under the dynamic zero-COVID strategy. The study was performed in the Inflammatory Bowel Disease Quality of Care Centers in mainland China in 2021. The data about the healthcare was collected by a 44-item questionnaire. Totally 463 were from ulcerative colitis (UC) patients and 538 from Crohn’s disease (CD) patients were included in the study. The pandemic impacted 37.5% patients on their treatment, and the biggest problem was unable to follow up timely (77.9%). There was a significant increase in healthcare costs in CD (P < 0.001) and no significant change in UC (P = 0.14) after the outbreak. Both UC and CD had an increase in the frequency of outpatient visits (UC 5.07 vs. 4.54, P = 0.001; CD 6.30 vs. 5.76, P = 0.002), and hospitalizations (UC 1.30 vs. 1.02, P < 0.001; CD 3.55 vs. 2.78, P < 0.001). The hospitalization rate in UC reduced slightly (40.2% vs. 42.8%, P = 0.423) after the outbreak, but it significantly increased in CD (75.8% vs. 67.8%, P = 0.004). The rate of biologics had significant increased (UC 11.2% vs. 17.7%, P = 0.005; CD 53.2% vs. 71.0%, P < 0.001). Besides, the proportion of people using telemedicine also increased from 41.6% to 55.1% (P < 0.001). However, 82.8% patients still preferred face-to-face visits. Recurrent outbreaks and the regular pandemic prevention and control policy had a long-term impact on medical care service for IBD patients. The preferred mode of healthcare was still face-to-face visit. It will be a long way to go in the construction of telemedicine in China.
Association of AI-determined Kellgren–Lawrence grade with medial meniscus extrusion and cartilage thickness by AI-based 3D MRI analysis in early knee osteoarthritis
Authors: Sekiya Ichiro , Katano Hisako , Guermazi Ali , Miura Yugo , Okanouchi Noriya , Tomita Makoto , Masumoto Jun , Kitazume Yoshio , Koga Hideyuki , Ozeki Nobutake
Published: November 2023

The associations among Kellgren–Lawrence (KL) grade, medial meniscus extrusion (MME), and cartilage thickness in knee osteoarthritis (OA) remain insufficiently understood. Our aim was to determine these associations in early to moderate medial tibiofemoral knee OA. We included 469 subjects with no lateral OA from the Kanagawa Knee Study. KL grade was assessed using artificial intelligence (AI) software. The MME was measured by MRI, and the cartilage thickness was evaluated in 18 subregions of the medial femorotibial joint by another AI system. The median MME width was 1.4 mm in KL0, 1.5 mm in KL1, 2.4 mm in KL2, and 6.0 mm in KL3. Cartilage thinning in the medial femur occurred in the anterior central subregion in KL1, expanded inwardly in KL2, and further expanded in KL3. Cartilage thinning in the medial tibia occurred in the anterior and middle external subregions in KL1, expanded into the anterior and middle central subregions in KL2, and further expanded in KL3. The absolute correlation coefficient between MME width and cartilage thickness increased as the KL grade increased in some subregions. This study provides novel insights into the early stages of knee OA and potentially has implications for the development of early intervention strategies.
Geochronological results from the Zhela Formation volcanics of the Tethyan Himalaya and their implications for the breakup of eastern Gondwana
Authors: Liang Jiacheng , Bian Weiwei , Jiao Xianwei , Peng Wenxiao , Ma Jiahui , Wang Suo , Ma Yiming , Zhang Shihong , Wu Huaichun , Li Haiyan , Shi Yuruo , Yang Tianshui
Published: November 2023

The relationship between the Kerguelen mantle plume and the breakup of eastern Gondwana is still debated. The new Zircon SHRIMP U–Pb dating of 139.9 ± 4.6 Ma, as well as previous ages from the Zhela Formation volcanic rocks in the Tethyan Himalaya, show that the studied Zhela Formation volcanic rocks formed during the Late Jurassic-Early Cretaceous, rather than the Middle Jurassic. The calculated volume of the Comei-Bunbury igneous rocks is ~ 114,250 km3, which is compatible with the large igneous provinces and, consequently, the typical mantle plume models. The new date results, along with existing dates, show that the volcanism attributed to the Kerguelen mantle plume in the Tethyan Himalaya ranges from ca.147 Ma to ca.124 Ma, with two peaks at approximately 141 Ma and 133 Ma. This new finding, together with geochemical and palaeomagnetic data obtained from the Comei-Bunbury igneous rocks, indicate that the Kerguelen mantle plume contributed significantly to the breakup of eastern Gondwana and that eastern Gondwana first disintegrated and dispersed at ca.147 Ma, the Indian plate separated completely from the eastern Gondwana before ca.125 Ma.
Classification of SLC family-related genes involved in ferroptosis predicts lung cancer prognosis and immunotherapy response
Authors: Gao Shun , Gong Guotao , Wang Xinyi , Gao Xinrui , Guo Xuanzhu , Luo Yuyao , Li Sijie , Zhang Yan , Lin Sheng
Published: November 2023

Lung adenocarcinoma, the most frequent type of lung cancer, is the leading cause of cancer-related deaths worldwide. Ferroptosis, controlled cell death that involves a high degree of iron-dependent lipid peroxidation, has been linked to tumor therapy sensitivity, patient prognosis, and cancer development. The solute carrier superfamily has over 400 members and comprises the largest class of transporters in the human genome. Solute carrier proteins can facilitate the movement of different substrates across biological membranes, which is crucial for physiological activities, including ferroptosis. Here, we developed a new model to further explore the role of the solute carrier family in ferroptosis in the lung adenocarcinoma immunological milieu. We used consensus clustering to classify patients with lung cancer into two subgroups (cluster1 and cluster2). Patients in the cluster1 subtype had a better prognosis and higher immune cell infiltration ratios than those in the cluster2 subtype. Furthermore, to evaluate the prognosis, the immune cell infiltration ratio, and the medication sensitivity of patients with lung adenocarcinoma, we developed gene scores related to the solute carrier family. In conclusion, we successfully developed a model incorporating the solute carrier family and ferroptosis to predict survival and the impact of immunotherapy on patients with lung cancer.
Cytokine profile and viral diversity in the early seronegative stage of community-acquired hepatitis C virus (HCV) infection
Authors: Radkowski Marek , Grabarczyk Piotr , Kryczka Tomasz , Caraballo Cortès Kamila , Kubicka-Russel Dorota , Janiak Maciej , Osuch Sylwia , Perlejewski Karol , Laskus Tomasz
Published: November 2023

Most Hepatitis C virus (HCV)-infected subjects develop chronic infection, whereas a minority clear the virus in the early phase of infection. We analyzed factors associated with outcome (chronicity vs clearance) during the preclinical seronegative phase of community-acquired HCV infection. Among 17.5 million blood donations in the years 2000–2016, 124 blood donors were found to be HCV RNA-positive/anti-HCV-negative. All were contacted after 0.5–12.7 years and 40 responded and provided blood sample. Hypervariable region 1 was analyzed by ultradeep pyrosequencing and cytokines in serum were quantified by Luminex (R&D Systems) multiplex immunoassay. Twenty-one (52.5%) donors were found to be HCV-RNA-positive, while 19 (47.5%) were HCV RNA negative (none received antiviral treatment). All but one seroconverted to anti-HCV. Donors with resolving hepatitis did not differ significantly from donors with chronic infection with respect to age, genotypes, IL28B polymorphisms, number of viral variants, nucleotide diversity per site or the overall number of nucleotide substitutions. However, the former group had significantly higher levels of IL-1beta, IL-1RA, IL-6, IFN-gamma and FGF-2 in serum. In our study of community-acquired acute hepatitis C approximately half of all subjects eliminated the virus spontaneously, and this clearance was associated with marked cytokine response in the early seronegative stage of infection.
A modelling study of hole transport in GaN/AlGaN superlattices
Authors: Bai Mengxun , Rorison Judy
Published: November 2023

The transport of holes through p-doped wurtzite bulk GaN and AlGaN is poor so transport of holes through GaN/AlGaN superlattices has been proposed and investigated theoretically and experimentally with experimental results showing poor transport. The reason for this poor performance is not fully understood. In this paper, the transport of holes in GaN/AlGaN wurtzite crystal superlattices is investigated through theoretical modelling, examining the role of the composition of the Al$$_x$$

x

Ga$$_{1-x}$$

1
-
x

N barrier regions and the thickness of the GaN quantum wells and the AlGaN barriers in determining the position and width of the heavy hole miniband. To consider the transport of the holes in the miniband we examine the effective mass of the miniband and possible scattering mechanisms. In particular, ionized impurity (II) scattering from ionized acceptors in the barrier regions is investigated as it is deemed to be the dominating scattering mechanism degrading hole transport. The energy position of the miniband relative to the ionized impurities and the wavefunction overlap with the ionized acceptors in the barrier regions is investigated to minimize II scattering. Some designs to optimize hole transport through wurtzite p-doped GaN/AlGaN superlattices to minimize II scattering are proposed.
Ring-expansion and desulfurisation of thiophenes with an aluminium(i) reagent
Authors: McMullen Jacob S. , White Andrew J. P. , Crimmin Mark R.
Published: November 2023

Reactions of thiophenes with the aluminium(i) complex [{ArNC(Me)2H}Al] (Ar = 2,6-di-isopropylphenyl) lead to carbon–sulfur bond activation.
Electrocatalytic hydrogen production activity with a copper(ii)-dipyridylamine complex in acidic water
Authors: Diyali Nilankar , Chettri Meena , Saha Subhajit , Saha Ankita , Kundu Subhankar , Mondal Debasish , Dhak Debasis , Biswas Bhaskar
Published: November 2023

A water-stable and structurally characterised earth-abundant copper(ii)-dipyridylamine complex was synthesized and evaluated for electrocatalytic H2 production activity in water using acetic acid as a proton source.
Two-stage tuberculosis diagnostics: combining centrifugal microfluidics to detect TB infection and Inh and Rif resistance at the point of care with subsequent antibiotic resistance profiling by targeted NGS
Authors: Schlanderer Judith , Hoffmann Harald , Lüddecke Jan , Golubov Andrey , Grasse Wolfgang , Kindler Elisabeth V. , Kohl Thomas A. , Merker Matthias , Metzger Christoph , Mohr Vanessa , Niemann Stefan , Pilloni Claudia , Plesnik Sara , Raya Bijendra , Shresta Bhawana , Utpatel Christian , Zengerle Roland , Beutler Markus , Paust Nils
Published: November 2023

Two-stage tuberculosis diagnostics from a single sample.
Polarization enhanced photoresponse of InSe via 2D ferroelectric CuCrP2S6
Authors: Weng Xiaoliang , Qi Lu , Tang Wei , Iqbal Muhammad Ahsan , Kang Chenxu , Wu Kewen , Zeng Yu-Jia
Published: November 2023

This investigation underscores the potential of CuCrP2S6 in the development of non-volatile, multi-state optoelectronic devices.
Visible light photoreforming of greenhouse gases by nano Cu–Al LDH intercalated with urea-derived anions
Authors: Sakr Ayat A.-E. , Abd El-Hafiz Dalia R. , Elgabry Osama , Abdullah Eman S. , Ebiad Mohamed A. , Zaki Tamer
Published: November 2023

Microwave-assisted precipitation of Cu–Al LDH photocatalysts intercalated with urea-derived anions for selective formaldehyde production from greenhouse gas (CH4, CO2, and H2O) reforming under visible light irradiation.
Effect of thermal annealing on an emissive layer containing a blend of a small molecule and polymer as host for application in OLEDs
Authors: Meer Bushra Basharatali , Sharma Dhruv , Tak Swapnil , Bisen Gauri Govardhan , Shirsat Mahendra D. , Girija Kalpathy Ganapathy , Ghosh Sanjay Sanatan
Published: November 2023

Morphology changes upon thermal annealing the emissive layer and aggregation behavior of the two hosts is shown.
Structure and thermal behavior of biobased vitrimer of lactic acid and epoxidized canola oil
Authors: Rodrigues João Gabriel P. , Arias Santiago , Pacheco Jose G. A. , Dias Marcos Lopes
Published: November 2023

Biobased vitrimers were obtained from epoxidized canola oil (ECO) and lactic acid (LA) using zinc acetate (ZnAc) and ZnAl-layered double hydroxide (ZnAl) in the proportions of 1 and 2 wt% as transesterification catalysts.
Modulated synthesis of cesium phosphomolybdate encapsulated in hierarchical porous UiO-66 for catalysing alkene epoxidation
Authors: Hu Dianwen , Miao Songsong , Zhang Pengfei , Wu Siyuan , He Yu-Peng , Meng Qingwei
Published: November 2023

Cesium phosphomolybdate encapsulated in HP-UiO-66 was successfully synthesized. The obtained materials showed superior catalytic performance in alkene epoxidation reaction, which was attributed to the well-designed CsPM@HP-UiO-66 composites.
Experimental study of CO2 capture by nanoparticle-enhanced 2-amino-2-methyl-1-propanol aqueous solution
Authors: Zhang Qiuli , Ning Zhongyi , Li Xuelian , Ning Xiaogang , Wu Fan , Zhou Jun
Published: November 2023

AMP-based nanofluids were deployed to control the CO2 capture performance in order to increase the absorption and desorption rates, as well as to improve the recycling performance.
Preliminary Speech Perception Performance Profiles of School-Age Children With Childhood Apraxia of Speech, Speech Sound Disorder, and Typical Development
Authors: Hitchcock Elaine R. , Swartz Michelle T. , Cabbage Kathryn L.
Published: November 2023

Purpose:

Limited research exists assessing speech perception in school-age children with speech sound disorder (SSD) and childhood apraxia of speech (CAS); despite early evidence that speech perception may lead to error-prone motor planning/programming. In this study, we examine speech perception performance in school-age children with and without speech production deficits.

Method:

Speech perception was assessed using the Wide Range Acoustic Accuracy Scale to determine the just-noticeable difference in discrimination for three consonant–vowel syllable contrasts (/bɑ/−/wɑ/, /dɑ/−/gɑ/, /ɹɑ/−/wɑ/), each varying along a single acoustic parameter for seven children with CAS with rhotic errors, seven children with SSD with rhotic errors, and seven typically developing (TD) children.

Results:

Findings revealed statistically significant mean differences between perceptual performance of children with CAS when compared to TD children for discrimination of /ɹɑ/−/wɑ/ contrasts. Large effect sizes were also observed for comparisons of /ɹɑ/−/wɑ/ contrasts between children with CAS, SSD, and TD peers. Additionally, large effect sizes were observed for /dɑ/−/gɑ/ contrasts between children with CAS and SSD and TD children despite nonsignificant mean differences in group performance.

Conclusions:

Overall, mean outcome scores suggest that school-age children with CAS and persistent rhotic errors demonstrated less accurate speech perception skills relative to TD children for the /ɹɑ/−/wɑ/ contrasts. However, the relatively small sample sizes per group limit the extent to which these findings may be generalized to the broader population.
Remote Voice Therapy With an Oscillatory Positive Expiratory Pressure Device in Subjects With Vocal Fatigue: A Randomized Controlled Trial
Authors: Acevedo Karol , Guzman Marco , Ortega Andrés , Aguirre Camila , Diaz Sofía , Escudero Javiera , Quezada Camilo
Published: November 2023

Purpose:

The present study aimed at assessing the efficacy of remote voice therapy (telepractice) implemented with Shaker Medic Plus device in subjects with vocal fatigue.

Method:

Thirty-six participants were initially enrolled in this study. Twenty-four participants with vocal fatigue were finally randomly assigned to one of two treatment groups: (a) voice treatment with Shaker Medic Plus device plus vocal hygiene program (
n
= 12) and (b) voice treatment with water resistance therapy (WRT) plus vocal hygiene program (
n
= 12). Laryngoscopic assessment was conducted on all subjects. Before and after voice therapy, participants underwent (a) self-assessment of voice: Vocal Fatigue Index and Vocal Tract Discomfort Scale and (b) instrumental assessment with aerodynamic, acoustic, and electroglottographic measures. The treatment period included six voice therapy sessions within 6 weeks. Each session lasted 30 min. For both groups, exercises consisted of a sequence of nine phonatory tasks performed with Shaker Medic Plus (experimental group) and WRT (control group). Comparisons for all variables were performed between the experimental group and control group.

Results:

Significant improvements were found for self-reported variables when comparing pre- and postmeasures for both groups. No significant differences were found when comparing groups. No significant main effects or interactions were observed for any of the observed instrumental variables.

Conclusions:

Remote physiologic voice therapy with Shaker Medic Plus device and water resistance therapy seem to be both effective to improve voice in subjects diagnosed with vocal fatigue. No differences should be expected between these therapeutic protocols when treating patients with vocal fatigue. Moreover, both are effective at reducing tiredness of voice, voice avoidance, physical discomfort associated with voicing, subjective perception of sensory discomfort in throat, and reduction of physical, emotional, and functional impact of voice problems.
Image preprocessing‐based ensemble deep learning classification of diabetic retinopathy
Authors: Macsik Peter , Pavlovicova Jarmila , Kajan Slavomir , Goga Jozef , Kurilova Veronika
Published: November 2023

Diabetic retinopathy (DR) can cause irreversible eye damage, even blindness. The prognosis improves with early diagnosis. According to the International Classification of Diabetic Retinopathy Severity Scale (ICDRSS), DR has five stages. Modern, cost‐effective techniques for automatic DR screening and staging of fundus images are based on deep learning (DL). To obtain higher classification accuracy, the combination of several diverse individual DL models into one ensemble could be used. A new approach to model diversity in an ensemble is proposed by manipulating the training input data involving original and four variants of preprocessed image datasets. There are publicly available datasets with labels for all five stages, but some contain poor‐quality images. In contrast, this algorithm was trained on images from a six‐class DDR dataset, including the class of poor‐quality ungradable images, to enhance the classification performance. The solution was evaluated on the APTOS dataset, containing only ICDRSS classes. Classification results of the ensemble model were presented on two different ensemble convolutional neural network (CNN) models, based on Xception and EfficientNetB4 architectures using two fusion approaches. Our proposed ensemble models outperformed all other single deep learning architectures regarding overall accuracy and Cohen's Kappa, with the best results using the EfficientNetB4 architecture.
Saeyyang Pattuqdu Tradition in Polewali Mandar Society (Ethnographic Study of Communication)
Authors: Puji Astuti Endang , Subiyanto Agus
Published: November 2023

Polewali Mandar is a district in West Sulawesi. Religious traditions and rituals can be found, and one of the most popular is the tradition of Saeyyang Pattuqdu. In major events, this tradition is always displayed as an effort to preserve and introduce culture. This study aims to discuss the forms of communication patterns of Saeyyang Pattuqdu. The data were obtained through field research on the indigenous people of Polewali Mandar who knew about this tradition. This study found that the communicative situation in the Barazanji tradition is carried out in a clean house or place while the tradition of kalinda'da can be done outdoor that are witnessed by crowds. Furthermore, the communicative event consisted of alternating readings of Barazanji and reciprocating Kalinda'da fellow Mandar literati. The commutative actions are found in the Barazanji process, namely by chanting wisdom of praise to the prophet Muhammad Saw and Kalinda'da process, there are moral and gulonan messages that can entertain the general public. For action, it can be seen from the verses used in the Barazanji activity which have a message of praise to the prophet while non-verbs can be seen from the objects used such as umbrellas that symbolize the social level.
A study on the effectiveness of HRD process and climate in milk processing industries with special reference to Coimbatore district
Authors: Sathish G. , Srivignesh Kumar K.
Published: November 2023

Milk processing allows the preservation of milk for days, weeks or months and helps to reduce food-borne illness. The usable life of milk can be extended for several days through procedures like fermentation or refrigeration, which is the factor most likely to affect the quality of raw milk. The following procedures are carried out at a typical milk plant: receiving the raw milk and filtering/clarifying it. the complete or partial separation of the milk fat (for standardisation of market milk, production of cream and butter and other fat-based products, and production of milk powders). HR processes refer to the fundamental strategies necessary to support the employee lifecycle and a positive employee experience. Each HR process follows an intricate pathway that demands strategic planning according to specific parameters and objectives. While every process involves its own procedures, all processes are interdependent. HRD climate is the perception that the employees have about the policies, procedures, practices, and conditions which exist in the working environment. The study reveals the HR Process and Climate in the Milk Processing Industry, where all the segment of workers are involved in production, processing, marketing and sales.
Assessment of the effectiveness of the reforms to support entrepreneurship in Uzbekistan
Authors: Tadjiev Bekhzod Umidjanovich , Ataev Jasur Erkinovich , Akhmetshin Elvir Munirovich , Vasilev Vladimir Lvovich , Kukhar Viktor Stanislavovich
Published: November 2023

The relevance of the present research is conditioned by the increased role of small business in the rapidly changing world. Providing a significant contribution to the country’s gross domestic product and employment indicators, small business is highly flexible and adaptive to changes. World experience shows that a government is able to increase the multiplier effect of private entrepreneurship in the country through a system of measures and strategic programs aimed at its support and development. Such actions of the government should take into account the peculiarities of the territory and unique national advantages. This paper considers the effectiveness of reforms implemented to create a favorable environment for business entities of different levels in Uzbekistan, including small business and private entrepreneurship, based on various economic mechanisms. The study assesses the impact of reforms implemented in different periods on the activity rate and survival rate of business entities. These indicators were calculated on the basis of official statistical information. The methods of mathematical statistics were used to calculate these indicators. The results were evaluated using the methods of comparative and system analysis. In addition, changes in the activity rate and survival rate of small businesses due to economic fluctuations caused by the coronavirus pandemic were investigated.
Forecasting the prospects for the development of regional small business
Authors: Toshalieva Saodat
Published: November 2023

Small business is an integral part of the region’s economy, and without its participation it is impossible to imagine the development of the region’s economy. Small business, with its mobility and wide coverage, contributes to the sustainable and sustainable development of the region’s economy. The relevance of the topic under study is due to the need to assess the impact of small business activities on regional socio-economic development. The purpose of the study is to analyze on the basis of ionometric modeling the state of future phenomena and processes in the activities of small businesses in Surkhandarya region. To achieve this goal, the methods of statistical and econometric analysis were used in the article, in which, based on indicators representing the development of small entrepreneurship, GRP, as well as the Arima model (an autoregressive econometric model integrated into the moving average of the gretl software package), the relationship between effective and factor indicators in quantitative and qualitative forecasting of proposals and recommendations is analyzed.
Conceptual foundations of a systematic approach in the formation of the regional innovative potential
Authors: Devyatkova Olga I. , Mikhailova Svetlana S. , Nemchenko Galina I.
Published: November 2023

The article examines the conceptual foundations of a systematic approach in the formation of the innovative potential of the region. As a result of the systematic approach, a canonical model of the innovation system has been formed, which is based on the stages of the innovation process. For the development of the regional innovative potential, a model of innovation system management is presented. The reasons that hinder the formation of the regional innovation system were identified, they were ranked using the Delphi method. The factors hindering the development of the innovative potential of the region are identified. Recommendations are given as directions for further development of the innovative potential of the region.
New trends in hr recruitment process and it’s impact on job seekers
Authors: Martin Jayaraj A. , Gowrishankkar V. , Sarasu A.
Published: November 2023

The research article aims to explain new trends in the Human Resource recruitment process and evaluate the impact of such new recruitment trends on job seekers. Recruitment practices used by HR management have changed drastically due to various reasons. Among these, the most influential factors include the digitisation of society, increased competition among companies, lack of proper wages, higher number of job seekers, upgrading society’s lifestyle, and increased demand for skilled labour. Modern recruitment practices have adapted to such market trends to ensure sustainability and it is important to highlight such modern recruitment trends to understand how it affects the economy as a whole. Analysing the new trends in HR recruitment will also help to understand how job seekers are impacted, and whether such practices make unemployment better off or worse off. Different recruitment practices will have a different type of impact and hence evaluating all the trending recruitment strategies is essential to deduce the most optimal, ethical, and feasible recruitment practice those organisations can implement to gain competitive advantage and sustainability in the long run. This research will take the exploratory path as it tries to collect all information from existing literature and market knowledge regarding the latest HR recruitment practices. Using an exploratory model to develop a collection of all such recruitment strategies will help to compare the advantages and disadvantages of each from the perspective of the job seekers. Based on existing literature, the research article will present a conceptual model that will allow to highlight various ways job seekers are impacted by the different forms of recruitment practices. The sustainability of such practices will also be determined to understand whether it makes the job seekers worse off or better off in the future.
A study on financial performance analysis of selected listed companies with reference to textile industries
Authors: Thabasvini B.J. , Nandhini M.
Published: November 2023

India’s textile sector contributes significantly to the nation’s economy. When it comes to creating jobs and bringing in foreign currency, this is one of India’s largest sectors. The robustness of the Indian textile industry’s finances is the main topic of the paper. And to understand how efficiently the textile industry has utilised its resources so far. Profitability, liquidity and solvency positions of textile enterprises have been investigated for this purpose. The comparative ratio analysis method has been utilised in this article to determine whether textile companies are financially sound. Paul G. Hastings stated that “finance is the management of the affairs of the company.” Determining the costs associated with acquiring the funds on the most favourable terms possible and allocating the available funds to the best uses.
Improving corporative management in state companies: Prospects, distribution of power and collegial decision
Authors: Shukeyev Umirzak , Niyazov Mussa , Kurmankulova Nurzhamal , Yardyakova Irina
Published: November 2023

This article presents a methodology for assessing corporate governance belonging to the quasi-public sector organisations. The article discusses the main prerequisites based on which a new methodology for assessing this type of corporate governance is developed and applied. The object of the study is the National Welfare Fund “Samruk-Kazyna". The analysis of corporate governance is considered from the perspective of an economic approach, within which three essential aspects are highlighted: structure, process and transparency. The work also presents a scale for assessing corporate governance, which allows performing a quantitative assessment of the effectiveness of the management system within the organisation. The study presents the results of applying this method, which demonstrate that most companies in the quasi-public sector have already reached a certain level of development in corporate governance, which became the reason for the search for a new approach to assessing this system. The authors emphasise the importance of defining criteria for improving the effectiveness of corporate governance and identifying the strengths and weaknesses of this system. In this context, corporate governance assessment is based on professional assessments and expert opinions and not simply on the presence of specific business processes. Moreover, this assessment must be agreed with the principles and requirements established by the Corporate Governance Code.
Creation of forest stands with the use of water-retaining polymeric nano-substances (hydrogels) on the drained bottom of the Aral sea
Authors: Novitsky Z.B. , Atadjanova G.X. , Yangibaeva I.Z.
Published: November 2023

The Aral problem is of a planetary nature and its solution is possible only through large-scale forest reclamation. Every year, up to 150 million tons of salt, dust and sand rise into the air from the entire dried bottom located on the territory of Uzbekistan and Kazakhstan with an area of about 6 million hectares, which rise high into the sky, where they mix with clouds and are carried away to a distance of up to 1000 km. This is the tragedy of the century and it can be solved only by creating forest plantations. The studies were carried out on the sandy loamy plain of the former Rybatsky Bay of the dried bottom of the Aral Sea. In order to increase the germination of seeds of desert plants by increasing soil moisture, work was carried out on an area of 2 hectares. On the dry bottom of the Aral Sea, forest cultivation is difficult due to low rainfall and hot weather. This problem can be solved by introducing water-retaining polymeric nanosubstances into the soil. During the period of shoots in the places where nanosubstances were introduced, soil moisture increased by 1.5-2.2% compared to the control, and the survival rate of seedlings increased by 1.6-3.3%. When studying the effect of nanosubstances on a different range of desert plants, it was revealed that the number of seedlings of saxaul per 100 linear meters was more by 19.1 pcs, cherkez by 17.7 pcs, kandym by 7.5 pcs, Izen by 8.6, chogon by 12.3 and teresken by 13.6 pcs of plants than on control. In the experiment, the survival rate of saxaul and teresken was higher by 28%, and by autumn the mortality of saxaul was 3% and teresken 4%, and in the control, respectively, the mortality was 20 and 9%. The advantage is retained by the water-retaining polymeric nanosubstance produced in Perm. Therefore, in order to obtain abundant seedling shoots from seeds and increase the survival rate of seedlings in the extreme conditions of the dried bottom of the Aral Sea, it is advisable to use polymeric water-retaining nanosubstances.
Mineral Composition of Nodular Phosphorite of Karakalpakstan and its Processing into Simple Superphosphate
Authors: Xudoyberdiev Jaloldin , Reymov Akhmed , Kurbaniyazov Rashid , Namazov Shafoat , Badalova Oydin , Seytnazarov Atanazar
Published: November 2023

The possibility of simple superphosphate fabricate by sulfuric acid activation of nodular phosphorites of Karakalpakstanwas considered. At the same time, the chemical and mineralogical composition of phosphate raw materials was established using X-ray diffraction. The raw material mainly consists of 27.09% kurskite and 26.19% francolite, as well as quartz. The norm of sulfuric acid for the decomposition of phosphate, including impurity minerals, has been calculated. Under the optimal activation condition (70% H2SO4 of stoichiometry for the formation of monocalcium phosphate), the product was prepared with grades of P2O5free – 1.48%; Р2О5total – 14.67%; Р2О5assim.: Р2О5total = 97.88%; Р2О5water soluble: Р2О5total = 61.35%. CaOtotal – 25.72%; CaOassim.: CaOtotal = 68.12%.
World development of vocational training of social workers and system of social work and training at the regional level in Tatarstan
Authors: Koroleva Natalya , Achaeva Marina , Pospelova Nadezda , Khidirova Gavkhar
Published: November 2023

The purpose of our research work is to examine of social workers training in different foreign countries, in Russia and in the Republic of Tatarstan in the aspect of vocational activity on the basis of comparative-historical, systematic, processing and social-informative approaches. Historical method is well put down in the topic of effective training of social workers abroad and in the system of social work in different regions of RF as well as in Tatarstan. Great changes took place in the social life of the society during the ages of existence of social work, that is why this approach has the tendency to widen the sources of the research base and modern, more deep interpretation the processes of social work. The Social work nowadays is a kind of professional and independent activity though it is considered relatively young sphere it has a great diversity of social workers’ vocational training and quite remote traditions. In Russia in the 1990-2000 was slowing down the process of the social security and therefore the training of social workers, after that vocational training of social workers was renewed and the protection and support of the population is guaranteed by the state.
Design and research activity of students as a pedagogical problem
Authors: Ibragimov R. , Karataev A.
Published: November 2023

This article presents the origins of the design and research activities of students. A system of means that form the design and research activities of students has been developed. Four types of design and research activities of students (imitative, reproductive, partially exploratory and creative) and the mechanisms of their formation are described. The main ways of activating the project activity of students are revealed: the formation of learning motives, the use of problematic elements, the system of various types of project work, the connection of the studied material with the life and personal experience of the student. Work built on active cognitive activity brings students feelings of deep satisfaction, develops their imagination , develops a creative initiative, forms a worldview and moral character. We have made an attempt to analyze the theoretical foundations, methods and techniques of activating the project activity of students in the lessons of the course of mathematical analysis.
Review of ways to apply machine learning methods in software engineering
Authors: Asaad Jameleh , Аvksentieva Elena
Published: November 2023

This article reviews the integration of machine learning (ML) techniques into Software Engineering (SE) across various phases of the software development life cycle (SDLC). The purpose is to investigate the applications of ML in SE, analyze its methodologies, present findings, and draw conclusions regarding its impact. The study categorized ML applications in SE and assessed the performance of various ML algorithms. Authors identified ML applications in SDLC phases, including requirements analysis, design, implementation, testing, and maintenance. ML algorithms, such as supervised and unsupervised learning, are employed for tasks like software requirement identification, design pattern recognition, code generation, and automated testing. In summary, we find that ML-based techniques are experiencing a substantial surge in adoption within the field of software engineering. Nevertheless, it is evident that substantial endeavors are needed to establish thorough comparisons and synergies among these approaches, perform meaningful evaluations grounded in detailed real-world implementations that are applicable to industrial software development. Therefore, our key takeaway is the necessity for a shift in focus towards reproducible research, prioritizing this over isolated novel concepts. Failure to do so may result in the limited practical implementation of these promising applications.
Features of the market of marketing communications and their impact on the activities of fishing industry enterprises
Authors: Glinskaya Irina Yu. , Molchanova Lyudmila A. , Kovalenko Svetlana N. , Benderuk Tatiana G.
Published: November 2023

Fisheries is one of the most important areas that allows you to obtain high-protein products of animal origin. At the level of meat, fish gives the human body the necessary protein, as well as trace elements. Fisheries is one of the important branches of the domestic economy, the main objectives of which are to meet the needs of the population in fish and fish products; to improve and expand the range of products of their processing; to ensure equal conditions of competition in the field of fisheries. Therefore, there is a need for scientific research on the study of the current state of the development of the fishing industry and the level of provision of the population of Russia with fish products. Of particular relevance are the issues of studying the market of fish products, forecasting the volume of its production for the future and the balance of its use (supply and demand), etc. The article considers the directions of marketing communications integration, analyzes the trends in the development of the marketing communications market in Russia on the basis of expert assessments. The conclusion is made about the integration of all marketing communication tools a priori for all market entities of different levels in order to achieve the overall effectiveness of their marketing activities.
The main areas of application of IoT technologies in agriculture
Authors: Leonova Y.V. , Skvortsov E.A. , Gusev А.S. , Skvortsova E.G.
Published: November 2023

The relevance of the research topic is determined by the significant pace of implementation of IoT technologies in agriculture and the poor theoretical development of their application. The purpose of the study is to identify the main areas of application of IoT technologies in agriculture. The scientific novelty is the theoretical provisions on the directions of the use of IoT technologies in the industry. The analysis of scientific publications in this area of research has been carried out and the main areas of application of IoT technologies in the industry have been clarified, and their characteristics have been given. The main applications of IoT technologies in agriculture include smart (smart farm, smart field) and intelligent (real-time data collection) environments, predictive analysis of crop yields and animal productivity, various measurements, predictive maintenance, resource consumption control and remote management of machines and equipment. The results of the study allow deepening knowledge about IoT technologies used in agriculture, contributing to their systematization, expanding the range of IoT types used by agricultural organizations.