bluuebunny/crossref_metadata_2025 huggingface dataset:
Scenario planning in national security management: methodological foundations
Authors: Shul'ts Vladimir Leopol'dovich , Chernov Igor' Viktorovich , Kul'ba Vladimir Vasil'evich , Shelkov Aleksei Borisovich
Published: November 2023

The article deals with the study of methodological problems of increasing the efficiency of planning and management of ensuring the national security of the Russian Federation in context of uncertainty and risk. The results of the analysis of the main features of national security as a subject area and a complex object of public administration management are presented. The main features of management processes to ensure Russia's national security within the framework of closely interconnected external and internal contours of the subject area under consideration are highlighted. The analysis of the problems and tasks of planning as the central function of the national security management process, which determines the ways to achieve the goals set in the conditions of continuous changes in the external and internal environments, as well as the threats and challenges associated with them, is carried out. To improve the efficiency of managing processes to ensure national security, it is proposed to use a scenario approach, which provides the possibility to develop a complex of planning and management decisions taking into account the alternatives for the future events at the management object and in the external environment under uncertainty and risk. The basic strategies for using scenarios in the processes of long-term and medium-term planning are highlighted and the results of evaluating the effectiveness of various approaches to converting scenarios into concrete plans are presented. The results of the analysis showed that the use of the developed automation technology for scenario-forecast research based on the signed oriented graphs mathematical model as a means of information support for the decision-making processes significantly expands the possibilities of using the scenarios as the planning processes basis in order to increase the validity, efficiency, effectiveness and sustainability of the developed plans and programs.
Artificial intelligence and cognitive diagnosis based teaching resource recommendation algorithm
Authors: Mao Zhi , Li Mingfang
Published: November 2023

In the realm of advanced technology, deep learning capabilities are harnessed to analyze and predict novel data, once it has absorbed existing information. When applied to the sphere of education, this transformative technology becomes a catalyst for innovation and reform, leading to advancements in teaching modes, methodologies, and curricula. In light of these possibilities, the application of deep learning technology to teaching resource recommendations is explored in this article. Within the context of the study, a bespoke recommendation algorithm for teaching resources is devised, drawing upon the integration of deep learning and cognitive diagnosis (ADCF). This intricately constructed model consists of two core elements: the Multi-layer Perceptron (MLP) and the Generalized Matrix Factorization (GMF), operating cohesively through stages of linear representation and nonlinear learning of the interaction function. The empirical analysis reveals that the ADCF model achieves 0.626 and 0.339 in the hits ratio (HR) and the Normalized Discounted Cumulative Gain (NDCG) respectively due to the traditional model, signifying its potential to add significant value to the domain of teaching resource recommendations.
Comparative study of the efficacy of intra-arterial and intravenous transplantation of human induced pluripotent stem cells-derived neural progenitor cells in experimental stroke
Authors: Cherkashova Elvira , Namestnikova Daria , Leonov Georgiy , Gubskiy Ilya , Sukhinich Kirill , Melnikov Pavel , Chekhonin Vladimir , Yarygin Konstantin , Goldshtein Dmitry , Salikhova Diana
Published: November 2023

Background

Cell therapy using neural progenitor cells (NPCs) is a promising approach for ischemic stroke treatment according to the results of multiple preclinical studies in animal stroke models. In the vast majority of conducted animal studies, the therapeutic efficacy of NPCs was estimated after intracerebral transplantation, while the information of the effectiveness of systemic administration is limited. Nowadays, several clinical trials aimed to estimate the safety and efficacy of NPCs transplantation in stroke patients were also conducted. In these studies, NPCs were transplanted intracerebrally in the subacute/chronic phase of stroke. The results of clinical trials confirmed the safety of the approach, however, the degree of functional improvement (the primary efficacy endpoint) was not sufficient in the majority of the studies. Therefore, more studies are needed in order to investigate the optimal transplantation parameters, especially the timing of cell transplantation after the stroke onset. This study aimed to evaluate the therapeutic effects of intra-arterial (IA) and intravenous (IV) administration of NPCs derived from induced pluripotent stem cells (iNPCs) in the acute phase of experimental stroke in rats. Induced pluripotent stem cells were chosen as the source of NPCs as this technology is perspective, has no ethical concerns and provides the access to personalized medicine.

Methods

Human iNPCs were transplanted IA or IV into male Wistar rats 24 h after the middle cerebral artery occlusion stroke modeling. Therapeutic efficacy was monitored for 14 days and evaluated in comparison with the cell transplantation-free control group. Additionally, cell distribution in the brain was assessed.

Results

The obtained results show that both routes of systemic transplantation (IV and IA) significantly reduced the mortality and improved the neurological deficit of experimental animals compared to the control group. At the same time, according to the MRI data, only IA administration led to faster and prominent reduction of the stroke volume. After IA administration, iNPCs transiently trapped in the brain and were not detected on day 7 after the transplantation. In case of IV injection, transplanted cells were not visualized in the brain. The obtained data demonstrated that the systemic transplantation of human iNPCs in the acute phase of ischemic stroke can be a promising therapeutic strategy.
Confidence intervals for ratio of means of delta-lognormal distributions based on left-censored data with application to rainfall data in Thailand
Authors: Thangjai Warisa , Niwitpong Sa-Aat
Published: November 2023

Thailand is a country that is prone to both floods and droughts, and these natural disasters have significant impacts on the country’s people, economy, and environment. Estimating rainfall is an important part of flood and drought prevention. Rainfall data typically contains both zero and positive observations, and the distribution of rainfall often follows the delta-lognormal distribution. However, it is important to note that rainfall data can be censored, meaning that some values may be missing or truncated. The interval estimator for the ratio of means will be useful when comparing the means of two samples. The purpose of this article was to compare the performance of several approaches for statistically analyzing left-censored data. The performance of the confidence intervals was evaluated using the coverage probability and average length, which were assessed through Monte Carlo simulation. The approaches examined included several variations of the generalized confidence interval, the Bayesian, the parametric bootstrap, and the method of variance estimates recovery approaches. For (ξ1, ξ2) = (0.10,0.10), simulations showed that the Bayesian approach would be a suitable choice for constructing the credible interval for the ratio of means of delta-lognormal distributions based on left-censored data. For (ξ1, ξ2) = (0.10,0.25), the parametric bootstrap approach was a strong alternative for constructing the confidence interval. However, the generalized confidence interval approach can be considered to construct the confidence when the sample sizes are increase. Practical applications demonstrating the use of these techniques on rainfall data showed that the confidence interval based on the generalized confidence interval approach covered the ratio of population means and had the smallest length. The proposed approaches’ effectiveness was illustrated using daily rainfall datasets from the provinces of Chiang Rai and Chiang Mai in Thailand.
Investigating altered brain functional hubs and causal connectivity in coronary artery disease with cognitive impairment
Authors: Qin Rui , Li Tong , Li Cuicui , Li Lin , Wang Ximing , Wang Li
Published: November 2023

Background

Coronary artery disease (CAD) and cognitive impairment (CI) have become significant global disease and medical burdens. There have been several reports documenting the alterations in regional brain function and their correlation with CI in CAD patients. However, there is limited research on the changes in brain network connectivity in CAD patients. To investigate the resting-state connectivity and further understand the effective connectivity strength and directionality in patients with CAD, we utilized degree centrality (DC) and spectral dynamic causal modeling (spDCM) to detect functional hubs in the whole brain network, followed by an analysis of directional connections. Using the aforementioned approaches, it is possible to investigate the hub regions and aberrant connections underlying the altered brain function in CAD patients, providing neuroimaging evidence for the cognitive decline in patients with coronary artery disease.

Materials and Methods

This study was prospectively conducted involving 24 patients diagnosed with CAD and 24 healthy controls (HC) who were matched in terms of age, gender, and education. Functional MRI (fMRI) scans were utilized to investigate brain activity in these individuals. Neuropsychological examinations were performed on all participants. DC analysis and spDCM were employed to investigate abnormal brain networks in patients with CAD. Additionally, the association between effective connectivity strength and cognitive function in patients with CAD was examined based on the aforementioned results.

Results

By assessing cognitive functions, we discovered that patients with CAD exhibited notably lower cognitive function compared to the HC group. By utilizing DC analysis and spDCM, we observed significant reductions in DC values within the left parahippocampal cortex (PHC) and the left medial temporal gyrus (MTG) in CAD patients when compared to the control group. In terms of effective connectivity, we observed the absence of positive connectivity between the right superior frontal gyrus (SFG) and PHC in CAD patients. Moreover, there was an increase in negative connectivity from PHC and MTG to SFG, along with a decrease in the strength of positive connectivity between PHC and MTG. Furthermore, we identified a noteworthy positive correlation (r = 0.491, p = 0.015) between the strength of connectivity between the PHC and the MTG and cognitive function in CAD patients.

Conclusions

These research findings suggest that alterations in the connectivity of the brain networks involving SFG, PHC, and MTG in CAD patients may mediate changes in cognitive function.
Cuidadoras de Memorias: las mujeres y la defensa del Patrimonio Industrial-Minero en el sur de Chile
Authors: Brito-Peña Alejandra
Published: November 2023

Este artículo recupera las experiencias y voces de mujeres que crean organizaciones sociales para la defensa del patrimonio industrial, y sus aportes para el resguardo y cuidado de las memorias de ese pasado. La investigación es una respuesta a la crisis provocada por el proceso de desindustrialización, el cual, desde el punto de vista de las subjetividades sociales, ha derivado en la búsqueda de una defensa del patrimonio industrial y la reconstrucción de la memoria social de la experiencia del trabajo y de vida en los espacios industriales. Al analizar dicha memoria, se constata que las voces de mujeres están de manera nítida presentes en su recuperación. Con este artículo buscamos contribuir al conocimiento que vincula el proceso de industrialización, la construcción de un espacio urbano y la constitución de familias obreras, para comprender la construcción de formas colectivas de habitar.
Lugares ambivalentes: el espacio vivido de las juventudes urbanas en ciudades fronterizas
Authors: Ley Judith , Solorio Carlos
Published: November 2023

La espacialidad de las juventudes urbanas constituye el interés central de este trabajo, principalmente la forma en que experimentan los espacios de vida que conforman su cotidianidad, mediante la identificación y calificación de los lugares de disfrute, padecimiento, seguridad e inseguridad. Para ello, se llevaron a cabo grupos de discusión de hombres y mujeres que cursan el bachillerato en escuelas públicas ubicadas en zonas urbanas con desventaja social en Tijuana y Mexicali en México, a quienes se les solicitó que elaboraran una cartografía con cuatro tipos de lugares: donde la pasan bien, donde la pasan mal, donde se sienten protegidos y donde se sienten en riesgo, así como las razones de tales situaciones. Como resultado de lo anterior se obtuvo un inventario de lugares con tonalidades afectivas contrapuestas, que revelan algunas formas en que los espacios de vida de las personas jóvenes son afectados por el contexto que habitan.
¿Nueva disputa o vieja convivencia? Airbnb y el mercado de viviendas de alquiler en pequeñas ciudades turísticas brasileñas
Authors: Braga-de-Souza Rafael , Viana Leonelli Gisela-Cunha
Published: November 2023

Airbnb es una plataforma de alquiler mediada digitalmente. Su presencia en las ciudades genera impactos económicos, sociales y urbanísticos. Investigar la distribución espacial de los anuncios Airbnb es una forma de comprender su presencia y combatir las externalidades. Poco se ha escrito sobre la distribución espacial de Airbnb en las ciudades latinoamericanas. El objetivo principal es verificar si existe una relación entre la ubicación del mercado Airbnb y los mercados de alquiler. A través de una encuesta de datos demográficos y el sitio web Airbnb, se identifican las regiones predominantes de uso de Airbnb y el mercado de alquiler. Se concluyó: (1) Airbnb predomina en las ciudades turísticas de ocio; (2) las actividades turísticas determinan la ubicación de Airbnb; (3) Airbnb utiliza el inventario de alquileres a largo plazo de forma secundaria; (4) la distribución espacial de Airbnb está determinada por la distribución del mercado de alquiler a corto plazo.
Constraints and Suggestions Expressed by the Beneficiaries of Krishi Bhagya Scheme in North Eastern Karnataka Region, India
Authors: Gondali Huchhappa , Chandargi D. M. , Goudappa S. B. , Kammar Shivanand , Koppalkar B. G. , Lokesh G. B.
Published: November 2023

Krishi Bhagya Scheme lunched by Government of Karnataka with the aim of securing the farmer’s income by taking up on-farm rainwater conservation practices exclusively for the dry-land farmers who rely on the annual rainfall for their farming. It also encourages the farmers to adopt modern technologies for efficient use of. In this study, an attempt has been made to document the constraints faced by the Krishi Bhagya Schme beneficiaries and seek their suggestions to overcome them in Kalaburagi and Ballari districts of North-Eastern Karnataka region during the year 2019-20. Totally 180 respondents were considered for the study and personal interview method was adopted for collection of data. The data was analysed using frequency and percentage analysis. The results revealed that, The results indicated that 90.00 per cent of the beneficiaries stated that the lengthy time required for completing procedure (Rank I), 85.00 per cent of the beneficiaries stated complexity and delay in sanctioning of subsidy and it was ranked second and Absence of fence and roof covers (62.22%) are the major constraints expressed by the Krishi Bhagya scheme beneficiaries. Increase percentage of subsidy (94.44%) and Timely release the subsidy amount (87.78 %) are the major suggestions expressed by the beneficiaries for effective implementation of Krishi Bhagya scheme
The Mediating Role of Investment: Analyzing the Causal Impact of Inflation on Economic Growth and the Influence of Capital Expenditure
Authors: Ma`rifatturrohanah  , Najmudin Najmudin , Widiastuti Ekaningtyas
Published: November 2023

Aims: This paper aims to test the impact of inflation and capital expenditure on regional growth of economy employing the investment as a mediating variable in Central Java from 2017 to 2022.
Study Design:  The population of this research is 35 districts or cities in Central Java Province for 2017–2022 period. This paper uses secondary data or quantitative approach taken from the Statistics Central Bureau.
Methodology: The method used to collect data is purposive sampling with data analysis using the Structural Equation Modeling model. Data is processed through the Smart PLS 4.0 program applying Structural Model analysis (Inner Model) as an analysis technique of data.
Results: The findings of this paper suggest that: (1) Inflation had no effect significantly on growth of economy. (2) Investment level had an effect positively on growth of economy. (3) Inflation had an effect negatively on the investment. (4) Investment had an effect significantly in mediating the causality of the inflation to growth of economy. (5) The capital expenditure had an effect positively on growth of economy.
Composition of Tuna Catch Hand Line at the Fish Landing Base (FLB) Lonrae, Bone Regency, South Sulawesi Province, Indonesia
Authors: Danial  , Baroqi A. Riza , Wildan  , Timur Putra Satria , Syahrul
Published: November 2023

Fish landed at fishing ports generally come from various species, fisheries management has developed into a decentralized system. Tuna is one type of economically important fish in the world and is the third largest fishery commodity in Indonesia.  The aim of this research is to determine the size composition of catches and analyze the relationship between length and weight of hand line tuna catches. Data collection techniques were carried out by observing and measuring as well as interviews with crew members of hand-line fishing boats who landed their catches at the Lonrae Fish Landing Base (FLB).  Descriptive data is presented in the form of tables and graphs. The statistical analysis used is a simple regression between two variables, namely the length and weight of the fish. Next, to get the regression coefficients, the data is processed using the graphical method provided in MS Excel software. The catch of hand line tuna boats landed at FLB Lonrae, consists of three species of tuna, namely: yellowfin tuna (Thunnus albacares), skipjack tuna (Katsuwonus pelamis) and bigeye tuna (Thunnus obesus).  The length-weight relationship of 876 Yellowfin tuna fish obtained a value of b=3.08, the length-weight relationship of 467 Skipjack Tuna fish obtained a b value of 2.71 and the length-weight relationship of 430 Bigeye tuna fish obtained a value of b=2.97 shows positive allometric growth where weight growth is faster than length growth. The tuna species composition observed at PPI Lonrae Bone Regency consisted of 3 species, namely Yellowfin Tuna, Bigeye Tuna and Skipjack. Composition of tuna species YFT=29.2% BET=11.8% and SKJ =58.97%.
Assessing the Performance of Latest Greengram Varieties under Improved production Packages in Thiruppur, Tamil Nadu, India
Authors: Kathiravan M.  , Vanitha C.  , Ayyadurai P.  , Krishnaveni A.  , Yuvaraj M.
Published: November 2023

On Farm Testing (OFT) in Mungbean Yellow Mosaic Virus (MYMV) resistant and high yielding greengram varieties was conducted by Krishi Vigyan Kendra, Tamil Nadu Agricultural University, Tirupur in farmers field during kharif 2020. Totally 15 farmers each with one acre were selected in three villages of Pongalur Block in Tirupur district of Tamil Nadu.  Critical input viz., seeds of greengram varieties CO 8 and DGG 1 were distributed to the farmers and the varietal performance were assessed along with the existing variety under cultivation VBN 2. The plant physiological parameters viz., plant height, number of nodules / plant and yield attributing parameters such as number of pods / plants, number of branches/plant, Mung bean Yellow Mosaic Virus (MYMV) disease incidence (%), yield (q ha-1) and B:C ratio were recorded. The results revealed that, among the three varieties, Greengram CO 8 was recorded more number of pods (42) and minimum incidence of Mungbean Yellow Mosaic Virus (MYMV) disease incidence of 3.2 per cent resulting in the highest yield of 9.5 q ha-1 followed by DDG  1 with 34 pods/plant, MYMV disease incidence of 7.3 per cent  and yield of 8.4 q ha-1 compared to the existing variety VBN 2, which recorded  the lowest number of pods (31 Nos.), yield (7.6 q ha-1) with the highest MYMV disease incidence (12.5%). The highest B:C ratio was recorded in greengram variety CO 8 (2.92) which was followed by DDG 1 (2.58). It was concluded that, farmers of Tirupur district in Tamil Nadu were satisfied with cultivation of greengram CO 8 variety due to the lowest disease incidence, higher yield and Benefit Cost Ratio.
Problems and Suggestions under Extent of Adoption of Recommended Mushroom Production Technology by Mushroom Growers of Jabalpur District (M. P.), India
Authors: Sahu Kanta Kumar , Khare Anushka , Dixit Devanshu , Chandravanshi Jitendra
Published: November 2023

Mushroom production technology offers a promising avenue for income generation and sustainable agriculture. However, the extent of adoption of recommended mushroom production technology by mushroom growers in Jabalpur District, Madhya Pradesh, remains a matter of concern. This study aimed to identify the key problems hindering the widespread adoption of recommended practices and propose suitable suggestions to overcome these challenges. The researches involved conducting surveys and interviews with mushroom growers in Jabalpur District to assess their current practices and level of technology adoption. The study revealed several critical issues, including limited awareness and knowledge about modern mushroom cultivation techniques, inadequate access to training and extension services, and the lack of financial resources for adopting advanced technologies. Additionally, the absence of supportive policies and market linkages posed significant barriers for mushroom growers.To address these challenges, several practical recommendations were put forth. First, targeted awareness campaigns and training programs should be organized to educate mushroom growers about the benefits of adopting recommended practices. Secondly, government agencies and agricultural institutions should enhance extension services and provide hands-on technical support to mushroom growers. Moreover, financial institutions should introduce specific loan schemes and subsidies to facilitate the adoption of modern technologies. Strengthening market linkages through farmer-producer organizations and value-chain development initiatives will enable mushroom growers to access better markets and improve their income prospects.Overall, this study sheds light on the obstacles faced by mushroom growers in Jabalpur District concerning the adoption of recommended mushroom production technology. The suggested interventions offer practical solutions to enhance technology uptake and promote sustainable mushroom cultivation practices. Implementing these recommendations can potentially lead to increased productivity, income diversification, and improved livelihoods for mushroom growers in the region.
The Analysis of Fibre Properties of Water Retted Sansevieria trifasciata with Sodium Hydroxide
Authors: Kumari Bindu , Rani Lalita , Arya Nisha , Kumari Sachin , Poonia Neeta
Published: November 2023

In the last decade, natural fibres have been in high demand because of their strength, high efficiency, and biodegradability easy availability for nature and improved textile properties than synthetic fibre. So, the increasing preference towards natural and green textile products rather than synthetic products has increased the attraction of tourists to the local as well as outside markets. Therefore, the present paper focused on the analysis of sodium hydroxide on the fibre properties of water-retted S. trifasciata (snake plant) fibres. The extraction of fibres from snake plant leaves was conducted by using water water-retted method. Three different time periods were selected i.e. 10, 15 and 20 days for water retting. After water retting, the selected fibres were treated with an alkali i.e. NaOH. The optimum conditions for alkali were chemical concentration, material to liquor, time durations, treatment temperature and pH for standardization of the process of alkali treatment. The effect of sodium hydroxide was analyzed on fibre properties such as fibre yield, fineness, bundle strength, and elongation at the break. As a result, a gradual fibre yield was to be increased to decrease after being treated with alkali (NaOH). The alkali-treated fibres fibre yield, fineness and bundle strength was recorded (0.84±0.02 g), (23.51±0.39 denier) and (47.97±0.13 g/tex). Elongation of the alkali-treated fibres was 5.02±0.007 per cent. The resulting fibre properties were found suitable for other textile products such as apparel, reinforcement material composite etc.
Performance of Tomato Varieties Arka Rakshak and Arka Samrat in Naturally Ventilated Polyhouse and Its Economic Returns
Authors: Devi P. Bijaya , Rout Sandeep
Published: November 2023

In Bishnupur, Manipur, tomato cultivation can generate a steady income that supports farmers' welfare and livelihood security. Most of the farmers of Bishnupur are under the category of marginal and sub-marginal farmers. Bishnupur's tomato is an important high-value crop with high yield and economic potential. Most farmers in the Bishnupur district of Manipur are growing wide varieties of tomatoes in open fields and a few in low-cost polyhouses. The seeds of two tomato varieties, Arka Rakshak and Arka Samrat, are new varieties in Manipur. A comparison of the yield potential of two tomato varieties and their economic returns, the varietal performance testing was conducted in a naturally ventilated Polyhouse of area 135 m2 at an instructional farm of Krishi Vigyan Kendra, Bishnupur district, Manipur, during 2017-18. The adopted package of practices was Seed rate – 3.5g , Spacing- 45cm x 45cm, FYM-400 kg, NPK 4:10:2.5 g/plant. The study revealed that tomato var. Arka Rakshak resulted in a yield of 367 kg with C:B ratio (1:7.8), whereas Arka Samrat could obtain 285 kg with C:B ratio (1:6), which shows that both the two varieties are suitable for polyhouse cultivation. However, the tomato variety Arka Rakshak has superior performance in every parameter than Arka Samrat.
Millet Starch – A Potential Functional Ingredient
Authors: Prasad Priyanka , Sahu Jatindra K. , Srivastava Ashutosh K.
Published: November 2023

Millets are primitive grains that were majorly cultivated in Indian subcontinent from ancient times. These are small seeded categorized as major and minor millets. Millets are resilient to adverse effects of climate change.  They are regarded as "nutri-cereal" due to their high nutritional value compared to rice, wheat, and corn. Starch is the major nutritional constituent of millets with average content ranging from 55% to 61% in different millets. The application of millets depends on the physicochemical, structural, and functional properties of their starch. Millet starch is majorly isolated by wet milling methods, however, studies have shown the effect of dry milling on structural and functional properties of millet starches. Moreover, non-thermal methods have also been employed to enhance the functionality of millet starches. Studies have also demonstrated the functionality of millets in improvement of human metabolic heath and reduction of life-style related diseases. Modified millet starches are also utilised in food and non-food industries.
PENGUKURAN NILAI OVERALL EQUIPMENT EFFECTIVENESS SEBAGAI DASAR USAHA PERBAIKAN PROSES MANUFAKTUR PADA LINI PRODUKSI (Studi Kasus pada Stamping Production Division Sebuah Industri Otomotif)
Authors: Suhendra Robby , Betrianis Betrianis
Published: November 2023

Overall Equipment Effectiveness (OEE) is an effectiveness measurement method of equipment utilization in the implementation of Total Productive Maintenance (TPM. The ability of identification in details toward main problem and the cause factors that makes the improvement efforts become more focused is the reason why this method applied comprehensively by all manufacturing companies around the world. Manufacturing process at Stamping Production Division an automotive isdustry still keeps some unrevealed problems. This condition makes the achievement of OEE figure below the target that means production equipments are not utilized optimally yet. The expression of main problem and the cause factors is needed before the company starts some improvement efforts. This research is started by understanding the equipment losses that existed in company. Then, measuring the achievement of OEE figure in one period and through the pareto analysis toward the measurement's results, the main problem and the cause factors are obtained and clearly depicted in cause-and-effect diagram.

Abstract in Bahasa Indonesia :

Overall Equipment Effectiveness (OEE) adalah metode pengukuran efektivitas penggunaan suatu peralatan. OEE dikenal sebagai salah satu aplikasi progam Total Productive Maintenance (TPM). Kemampuan mengidentifikasikan secara jelas akar permasalahan dan faktor penyebabnya sehingga membuat usaha perbaikan menjadi terfokus merupakan faktor utama metode ini diaplikasikan secara menyeluruh oleh banyak perusahaan didunia. Saat ini proses manufaktur di Stamping Production Division sebuah industri otomotif memiliki permasalahan yang belum terungkap jelas. Hal tersebut mengakibatkan penggunaan peralatan yang ada belum optimal. Pengungkapan akar masalah dan faktor penyebabnya diperlukan sebelum perusahaan melakukan usaha perbaikan. Penelitian ini dimulai dengan mengidentifikasi kerugian peralatan (Equipment Losses) yang terjadi. Kemudian mengukur pencapaian nilai OEE satu lini produksi dalam satu periode dan melalui analisis pareto terhadap hasil pengukuran tersebut diperoleh akar permasalahan dan faktor penyebabnya yang secara jelas ditampilkan pada sebuah diagram sebab-akibat.

Kata kunci: pengukuran kinerja peralatan, regresi berganda dan analisa korelasi, industri otomotif, peralatan pabrik.
APLIKASI SISTEM PENGUKURAN PRODUKTIVITAS KAITANNYA DENGAN PENGUPAHAN
Authors: Pribadiyono Pribadiyono
Published: November 2023

In every profit or nonprofit oriented organization, human resources are the key factor in achieving the efficiency and effectiveness of the organization. In this paper, we design the technique for measuring the individual productivity in the working area. This measurement is based on the job description, key result area and Key Performance Indicators. The aims of this method are (1) to capture the indicators that affect the performance of the workers, (2) to design the performance improvement based on the individual achievement, (3) to identify the percentage of the workers who are satisfying the standard performance of the organization and (4) to design the individual performance reward , based on her/his productivity achievement.

Abstract in Bahasa Indonesia :

Setiap organisasi, baik yang profit oriented maupun tidak, manusia sebagai faktor modal merupakan sumber daya yang sangat berperan dalam mencapai tujuan organisasi yang efisien dan efektif. Tujuan dari pengukuran produktivitas pada makalah ini adalah untuk mendesain teknik pengukuran produktivitas individu ditempat kerja dikaitkan dengan job description, key result area, dan Key Performance Indicators. Metode ini juga bertujuan untuk mengetahui indikator-indikator yang menyebabkan naik dan turunnya prestasi kerja individu, untuk merencanakan perbaikan pestasi individu berdasarkan prestasi kerjanya, untuk mengetahui persentase (%) karyawan yang memenuhi standar prestasi perusahaan serta merencanakan perhitungan bonus prestasi kerja individu berdasarkan pencapaian produktivitasnya.

Kata kunci: pengukuran produktivitas, pengupahan, prestasi kerja individu.
PENGEMBANGAN KURSI RODA SEBAGAI UPAYA PENINGKATAN RUANG GERAK PENDERITA CACAT KAKI
Authors: Batan I Made Londen
Published: November 2023

According to the survey to the wheelchair users in Surabaya, it is found that 70% of the respondents want to have activities inside or outside their home independently. Therefore, a wheelchair that can satisfy their requirements is on demand. In this research we used an integrated product development to design a wheelchair. We simulated the ergonomic design by a method so called RULA for static load 150 kg. This proposed wheelchair is an ergonomic wheelchair. It is a wheelchair, that satisfies the safety regulations. By using a joystick, a user can control the wheelchair to move forward and backward, to set the seat up and down as convenience as they want to. We hope that this wheelchair can help the physical handicaps to move more freely and have more activities than before.

Abstract in Bahasa Indonesia :

Hasil kuisioner yang disebarkan ke pemakai kursi roda di kota Surabaya pada akhir 2005 dan awal 2006 menunjukkan bahwa 70% reponden tidak menginginkan lagi didampingi oleh seorang pemandu para saat mereka beraktifitas di dalam maupun di luar rumah. Sehingga, sebagai transportasi yang sangat dibutuhkan oleh penderita cacat kaki, kursi roda perlu untuk dikembangkan berdasarkan permintaan dan keinginan mereka. Pada makalah ini akan dipaparkan metode pengembangkan kursi roda yang didasarkan pada metode pengembangan produk terintegrasi. Melalui analisa kekuatan material pada beban statis 150 kg dan simulasi kenyamanan dengan metode RULA, dapat dirancang sebuah kursi roda yang aman dan nyaman, dapat bergerak maju mundur, tempat duduk dapat naik turun serta seluruh gerakannya dikontrol sendiri oleh pemakai kursi roda. Pengembangan kursi roda ini diharapkan dapat meningkatkan ruang gerak penderita cacat kaki dalam beraktifitas.

Kata kunci: kursi roda, transportasi, aman, nyaman, simulasi, RULA.
Biomimetic Targeting Nanoplatform for Atherosclerosis Theranostics Via Photoacoustic Diagnosis and “Hand‐In‐Hand” Immunoregulation
Authors: Ma Boxuan , Chen Zhezhe , Xu Hong , Sun Shuo , Huang Chengchen , Li Gaocan , Zhang Wenbin , Shang Min , Wang Yunbing , Fu Guosheng
Published: November 2023

Atherosclerosis can cause severe cardiovascular disease, which is usually diagnosed in late stages with life‐threatening complications. The lack of obvious symptoms limits its early diagnosis and timely treatment. In this work, a theranostic nanoplatform PGA@PMP is constructed for targeting photoacoustic diagnosis and a “hand‐in‐hand” immunoregulation of early‐stage atherosclerosis. Coated with biomimetic platelet membrane, PGA@PMP can actively target to the pathological endothelium and respond to the reactive oxygen species (ROS) in lesions for further disassembly and releasing photoacoustic probe along with immune‐regulate complex GWAS. The photoacoustic probe performs a noninvasive imaging with distinct recognition of plaques. In company, triggered by local cathepsin B, GWAS can be degraded for respective regulation on inducing M2 macrophages and stimulating regulatory T (Treg) cells. The transforming growth factor beta (TGF‐β) expressed by up‐regulated M2 macrophages also intensifies the Treg cell differentiation, which synergistically inhibits the foam cell formation and rebuilds a well‐balanced immune microenvironment. The in vivo evaluations suggest that the “hand‐in‐hand” strategy on regulating macrophages polarization and T cell differentiation indicates the restraint on atherosclerotic progression and the reversal of formed lesions even under high‐fat diet. Together, PGA@PMP provides an integrated solution for targeting theranostics of early‐stage atherosclerosis and delivers an exciting outcome of reversing the formed lesions.
Isolation and Enrichment of Extracellular Vesicles with Double‐Positive Membrane Protein for Subsequent Biological Studies
Authors: Liu Chunchen , Lin Huixian , Yu Haiyang , Mai Xueying , Pan Weilun , Guo Jingyun , Liao Tong , Feng Junjie , Zhang Ye , Situ Bo , Zheng Lei , Li Bo
Published: November 2023

The isolation and enrichment of specific extracellular vesicle (EV) subpopulations are essential in the context of precision medicine. However, the current methods predominantly rely on a single‐positive marker and are susceptible to interference from soluble proteins or impurities. This limitation represents a significant obstacle to the widespread application of EVs in biological research. Herein, a novel approach that utilizes proximity ligation assay (PLA) and DNA–RNA hybridization are proposed to facilitate the binding of two proteins on the EV membrane in advance enabling the isolation and enrichment of intact EVs with double‐positive membrane proteins followed by using functionalized magnetic beads for capture and enzymatic cleavage for isolated EVs release. The isolated subpopulations of EVs can be further utilized for cellular uptake studies, high‐throughput small RNA sequencing, and breast cancer diagnosis. Hence, developing and implementing a specialized system for isolating and enriching a specific subpopulation of EVs can enhance basic and clinical research in this field.
STAC: A tool to leverage genetic marker data for crop research and breeding
Authors: Carle Scott , Kiszonas Alecia , Garland‐Campbell Kimberly , Morris Craig F.
Published: November 2023

As genotyping by sequencing (GBS) becomes more prevalent and cost‐effective, there is a benefit in being able to apply the data to solve a variety of problems. However, high degrees of missing data and overreliance on single nucleotide polymorphisms (SNPs), while ignoring other forms of genetic variation, frequently plague attempts to make full use of GBS sequence data. Here we have developed two R scripts to serve as a tool in haplotype determination at loci of interest within biparental populations. One of these scripts, Sparse Tag Allele Caller (STAC), provides both automated calling and visual representations of the data around a locus of interest to assist in rapid data compilation decision‐making. The other script, STAC Integrate, allows automated quality control and logic‐based integration of presence/absence data with SNP data, while also rendering global overviews of recombination and coverage across the genome. These scripts are designed to be used together to maximize the utility of the available data. These tools were validated on a biparental population of wheat that was genotyped through GBS. They successfully enabled haplotype determination of a locus that was difficult to directly genotype, and their systemic accuracy was demonstrated in multiple populations and species. These scripts may serve as a tool for researchers attempting to make better use of GBS and other genetic marker data for both research and crop breeding decisions.
Multivariate alarm systems to recognize rare unpostulated abnormal events
Authors: Sudarshan Vikram , Seider Warren D. , Patel Amish J. , Oktem Ulku G. , Arbogast Jeffrey E.
Published: November 2023

Most chemical and manufacturing plants have safety/reliability systems in place that are well equipped to handle commonly occurring postulated abnormal events, but often prove to be ineffective in predicting highly unanticipated and randomly occurring unpostulated abnormal events. In this paper, an advisory system is developed to analyze and recognize such events, consisting of novel, multivariate alarm systems and response actions introduced using process modeling and path‐sampling for unpostulated abnormal events. It augments existing safety/reliability systems, suggesting actions when unanticipated abnormal events are approached. Forward‐flux sampling (FFS), developed to discover rare molecular dynamics pathways, is applied. With an approximate process model, for an exothermic continuous‐stirred tank reactor using a perturbed feed concentration, the FFS algorithm is applied to identify rare trajectories between high‐conversion and low‐conversion steady‐states, with key process variables saved at various “crossing points.” Then, committer probabilities, , are computed at each crossing point, yielding a mathematical model that expresses as a function of the key process variables; that is, the reactor temperature (T), cooling‐water flow rate (), and cooling‐water temperature (), selected as choices for the primary alarm variables. For these, alarm thresholds; that is, L—low, LL—low low, and LLL—low low low, are suggested by computing their critical ranges, given the ranges for every alarm threshold.
Directional Defect Management in Perovskites by In Situ Decomposition of Organic Metal Chalcogenides for Efficient Solar Cells
Authors: Wang Guan‐E , Xiao Guo‐Bin , Li Cong‐Ping , Fu Zhi‐Hua , Cao Jing , Xu Gang
Published: November 2023

Directional defects management in polycrystalline perovskite film with inorganic passivator is highly demanded while yet realized for fabricating efficient and stable perovskite solar cells (PSCs). Here, we develop a directional passivation strategy employing a two‐dimensional (2D) material, Cu‐(4‐mercaptophenol) (Cu‐HBT), as a passivator precursor. Cu‐HBT combines the merits of the targeted modification from organic passivator and excellent stability offered by inorganic passivator. Featuring with dense organic functional motifs on its surfaces, Cu‐HBT has the capability to “find” and fasten to the Pb defect sites in perovskites through coordination interactions during a spin‐coating process. During subsequent annealing treatment, the organic functional motifs cleave from Cu‐HBT and convert in situ into p‐type semiconductors, Cu2S and PbS. The resultant Cu2S and PbS not only serve as stable inorganic passivators on the perovskite surface, significantly enhancing cell stability, but also facilitate efficient charge extraction and transport, resulting in an impressive efficiency of up to 23.5 %. This work contributes a new defect management strategy by directionally yielding the stable inorganic passivators for highly efficient and stable PSCs.
Magnetized CNTs incorporated MBA cross‐linked guar gum nano‐composite for methylene blue dye removal
Authors: Sayana K. V. , Prajwal K. , Deeksha K. J. , Vishalakshi B. , Vishwanath T.
Published: November 2023

In the present work, a magnetized multiwalled carbon nanotube dispersed in chemically cross‐linked gaur gum was developed as a nano‐composite adsorbent material for the removal of dye from wastewater. The gaur gum, a bio‐macromolecule was chemically modified by cross‐linking with methylene bis‐acrylamide in the presence of sodium hydroxide as a novel approach to prepare the gel matrix. The magnetite nanoparticles loaded multiwalled carbon nanotubes were dispersed in methylene bis‐acrylamide cross‐linked gaur gum gel during gelation. The nano‐composite was characterized for morphological, spectral, and analytical data. The solid form of the nano‐composite was evaluated as an adsorbent material for the treatment of water containing methylene blue dye molecules as pollutants by the spectrophotometric method. Adsorption isotherm studies suggested that the Freundlich model was the befitting model for adsorption, indicating the multilayered adsorption and the kinetic study revealed the adsorption to occur by a pseudo‐second‐order kinetic process. The novel nano‐composite is found to be a promising material for the adsorptive removal of dye molecules from dye‐contaminated wastewater. The adsorption capacity was observed to be 11 mg/g of the material.
Cellulose nanocrystal synergistically enhanced polyurethane composites via fish‐net microstructure: Light shielding and mechanical properties
Authors: Zhang Peng , Wang Bin‐bin , Zhang Zhu , Yang Dan‐ni
Published: November 2023

The synergistically enhanced polyurethane (PU) composites, in which the cellulose nanocrystal (CNC) was incorporated, were in situ polymerized and then the increasingly closer grid network structures for PU/CNC composites were achieved by adjusting chain extenders and adding different low contents of CNC, due to the introduction of different hard segments or the evolution of spherulites. As a result, the onset of the light transmission of PU elastomers and CNC‐filled composites showed an obvious red shift from UV light to visible light region, which meant that all UV light regions could be shielded entirely. Therefore, compared with Rhodamine B in water solution unprotected, the excellent UV‐light shielding was further verified by the inefficient photodegradation of Rhodamine B in water solution protected by PU‐PDA, PU‐BDI or PU‐PDA/CNC films under UV‐light irradiation. Meanwhile, enhanced light shielding behavior for PU‐PDA composites was observed with adding the CNC fillers. Moreover, the significantly enhanced mechanical properties were achieved, more than two or three times at elastic modulus, tensile strength and elongation at break. Finally, synergistically Enhanced mechanical properties in PU composites were found. Therefore, the study was of great significance in the potential light application.
Plant‐based essential oil encapsulated in nanoemulsions and their enhanced therapeutic applications: An overview
Authors: Jamir Yangerdenla , Bhushan Mayank , Sanjukta Rajkumari , Robindro Singh Laishram
Published: November 2023

In recent years, studies on the formulation of nanoemulsions have been the focus of attention due to their potential applicability in food, pharmaceuticals, cosmetics, and agricultural industries. Nanoemulsions can be formulated using ingredients approved by the Food and Drug Administration (FDA), which assures their safety profiles to a great extent. Bioactive compounds such as essential oils although have strong biological properties and antimicrobial compounds, their usage is restricted due to their high volatility, instability, and hydrophobic nature. Therefore, nanoemulsion as carrier vehicle can be used to encapsulate essential oils to obtain stable and enhanced physicochemical characteristics of the essential oils. This review details the structure, formulation, and characterization techniques used for nanoemulsions, with a focus on the essential oil‐based nanoemulsions which have the potential to be used as antimicrobial and anticancer therapeutics.
Tax amnesty, corporate social responsibility disclosure, and organizational inertia
Authors: Adhariani Desi , Hajawiyah Ain , Rini Rima Kusuma
Published: November 2023

This study investigates the empirical association between corporate social responsibility (CSR) disclosure and tax compliance when there is a tax amnesty policy provided by the government. Utilizing the difference in difference method, we studied the impact of the tax amnesty program on tax compliance and CSR disclosure of companies in the mining industry in Indonesia context for the research period 2014–2019. Consistent with inertia theory, we observe the organizational inertia phenomena as the findings indicate the insignificant impact of the tax amnesty program on tax compliance and the marginally significant negative impact on CSR disclosure. This might come from corporate attributes that cause the inertia such as routines and procedures as well as the fixed mindset of the companies' decision‐makers on the cost and benefit of becoming corporate citizens. The inertia might also reflect the weaknesses in the management control system, especially in the belief and boundary control system. This research discusses the impact of tax amnesty on CSR disclosure which has been rarely investigated in previous studies. This study also extends the inertia theory on the taxation context and provides policy implications on tax amnesty.