bluuebunny/crossref_metadata_2025 huggingface dataset:
Water Flux Below the Root Zone vs. Irrigation Amount in Drip‐Irrigated Corn
Authors: Darusman  , Khan Akhter H. , Stone Loyd R. , Spurgeon William E. , Lamm Freddie R.
Published: July 2022

With increasing demands on water resources, greater efficiency is needed in irrigated agriculture. Internal drainage from the root zone is a loss that can be reduced or managed to improve irrigation efficiency. Our objective was to determine the relationship between seasonal water flux below the root zone (1.5 m) and irrigation amount with corn (Zea mays L.). Subsurface drip irrigation systems near Colby and Holcomb, KS, were used to supply water. Driplines were buried at a soil depth of 0.40 to 0.45 m, with a spacing of 1.5 m. The two soils are deep silt Ioams that formed in loess. Water flux at the 1.5‐m soil depth was determined in four irrigation treatments during 1990 and 1991. Tensiometers were placed at soil depths of 1.4 and 1.7 m and at distances from the dripline of 0, 0.4, and 0.8 m. Water flux was calculated using predetermined hydraulic conductivity vs. matric potential (Ψm) relationships, Ψm data from tensiometers within the corn plots, and Darcy's equation of water flow. Irrigation was applied to four treatment such that irrigation plus rain equaled 125, 100, 75, and 50% of calculated corn evapotranspiration (ET). From a regression analysis relating integrated water flux below the root zone (1.5 m) and in‐season irrigation, net upward water flux occurred with in‐season irrigation < 296 mm (RMSE = 71 mm), whereas net downward water flux occurred with irrigation > 296 mm. Compared with the 100% ET treatment (full irrigation), the 75% ET treatment had 76% of the in‐season irrigation, 25% of the in‐season water flux (net downward) below the root zone (1.5 m), and 93% of the corn grain yield. Near‐maximum corn grain yields can be obtained with significant decreases in irrigation amount and internal drainage from the root zone compared with full irrigation.
Rapid Yield Loss of Rice Cropped Successively in Aerobic Soil
Authors: George Thomas , Magbanua Roger , Garrity Dennis P. , Tubaña Brenda S. , Quiton Jonathan
Published: July 2022

Upland rice (Oryza sativa L.), commonly considered to be low yielding, can be high yielding if the genotype is improved for harvest index (HI) and the crop is grown relatively free from nutrient and drought stresses. We examined whether high and stable rice yields could be obtained in aerobic soil. In four experiments of 1‐ to 3‐yr duration, lime, N, and P were inputs for wet‐season upland rice ‘UPLRi‐5’ in a favorable rainfed Oxisol. In a 3‐yr experiment consisting of two crops per year in an irrigated Ultisol, different lowland and upland varieties were grown in limed and fertilized aerobic soil. First‐season rainfed UPLRi‐5 yield varied from 1.5 to 7.4 Mg ha−1, with low yields in fields receiving low early‐season rainfall. With irrigation, the lowland hybrid ‘Magat’ yielded 7.8 Mg ha−1 vs. 2.1 Mg ha−1 for traditional upland rice ‘Lubang Red’. Magat's high yield was associated with a HI of 0.43 in contrast to 0.31 of improved upland rice variety ‘Apo’ and 0.17 of Lubang Red. Whether the crop was rainfed or irrigated, yield loss was rapid following the first season: Grain yields decreased by up to 73% for rainfed UPLRi‐5 in the second to third season. In the irrigated upland, yield loss in the second to fourth season was reflected in a 16 to 79% decline in 10‐wk biomass. Here, the 13‐wk biomass in the fifth crop was only half that of the simultaneously grown first‐season crop. We conclude that while promise exists for high‐yielding rice in aerobic soil, the rapid yield loss with successive rice cropping must first be overcome.
Improved Yield Potential with an Early Planting Cotton Production System
Authors: Pettigrew William T.
Published: July 2022

Mid‐South cotton (Gossypium hirsutum L.) has reached a yield plateau in recent years. Shifting the growing season earlier in the year by planting earlier may allow the crop to develop under more favorable weather patterns and escape late season insects. The objectives were to determine the effect of early planting on growth and development, lint yield, and fiber quality of cotton. Early season dry matter partitioning, early season light interception, weekly bloom counts, lint yield, yield components, and fiber quality data were collected on genotypes planted during the first week of April (early planting) and the first week of May (normal planting). The data were collected from two experiments conducted over the years 1996 to 2000. Early June leaf area index of the early planted plants was 172% greater than plants in the normal planting, which contributed to a 55% greater canopy light interception for the early planting at that time. Early planting shifted the blooming period earlier in the growing season every year but 1997. Four out of 5 yr, the early planted cotton demonstrated a 10% yield improvement over the normal planted crop. In 1997, the early planted crop was stunted by an early season cold period, and yet its yields were equivalent to the normal planted crop. Planting earlier than normal has the potential to provide for increased lint yields for Mississippi Delta cotton producers. Techniques to mitigate early cold temperature stress could help make the yield improvements found with this early planting production system more consistent.
Peanut Response to Inoculation and Nitrogen Fertilizer
Authors: Lanier James E. , Jordan David L. , Spears Janet F. , Wells Randy , Johnson P. Dewayne
Published: July 2022

Experiments were conducted from 2000 through 2003 in North Carolina to compare peanut (Arachis hypogaea L.) response to inoculation with Bradyrhizobium In one study that included 20 experiments, peanut pod yield was compared following no inoculation or inoculation with commercial granular or liquid in‐furrow products. In six of these experiments, inoculant was also applied to the seed before planting. In six other experiments within this study, pod yield of inoculated and noninoculated peanut was determined following surface applications of N approximately 40 d after planting. In a second study, peanut pod yield was compared in twin row planting patterns (two rows spaced 18 cm apart on 91‐cm centers) when inoculant was applied in‐furrow to one of the twin rows or to both of the twin rows. In a third study, interactions of in‐furrow inoculation and fumigation with metam sodium were compared. Peanut pod yield was higher following inoculation in 7 of 20 experiments. In six of the seven experiments where a yield response to inoculation was observed, peanut had not been planted previously in these fields. In experiments where peanut responded positively to inoculant, pod yield was higher when inoculant was applied in the seed furrow rather than to seed before planting. Nitrogen increased pod yield linearly in three of six experiments (p ≤ 0.05). Inoculating both rows of peanut seeded in twin row patterns yielded higher in two of four experiments than when one of the twin rows was inoculated or when inoculant was not included. Fumigation with metam sodium did not affect pod yield, regardless of inoculation treatment.
Improving the Management of Dicot Weeds in Peanut with Narrow Row Spacings and Residual Herbicides
Authors: Johnson W. Carroll , Prostko Eric P. , Mullinix Benjamin G.
Published: July 2022

Narrow row spacings in peanut (Arachis hypogaea L.) production suppress spotted wilt and promote rapid canopy closure, improving competitiveness with weeds. Trials were conducted from 1999 to 2001 to determine if weed suppression in narrow row spacings, in conjunction with new residual herbicides supplemented with nonresidual herbicides, improved weed control and reduced herbicide use. Within each row spacing were three levels of weed management using the residual herbicides imazapic {(±)‐2‐[4,5‐dihydro‐4‐methyl‐4‐(1‐methylethyl)‐5‐oxo‐1H‐imidazol‐2‐yl]‐5‐methyl‐3‐pyridinecarboxylic acid}, diclosulam [N‐(2,6‐dichlorophenyl)‐5‐ethoxy‐7‐fluoro[1,2,4]triazolo[1,5‐c]pyrimidine‐2‐sulfonamide], sulfentrazone {N‐[2,4‐dichloro‐5‐[4‐(difluoromethyl)‐4,5‐dihydro‐3‐methyl‐5‐oxo‐1H‐1,2,4‐triazol‐1‐yl]phenyl]methanesulfonamide}, and flumioxazin {2‐[7‐fluoro‐3,4‐dihydro‐3‐oxo‐4‐(2‐propynyl)‐2H‐1,4‐benzoxazin‐6‐yl]‐4,5,6,7‐tetrahydro‐1H‐iso‐indole‐1,3(2H)‐dione}. Minimal weed management was ethalfluralin [N‐ethyl‐N‐(2‐methyl‐2‐propenyl)‐2,6‐dinitro‐4‐(trifluoromethyl)ben‐zenamine] alone for annual grass control. Moderate weed management was ethalfluralin, a residual herbicide, and 2,4‐DB [4‐(2,4‐dichlorophenoxy)butanoic acid]. Intense weed management was the moderate system for each residual herbicide, plus paraquat (1,1′‐dimethyl‐4,4′‐bipyridinium ion), bentazon [3‐(1‐methylethyl)‐(1H)‐2,1,3‐benzothiadiazin‐4(3H)‐one 2,2‐dioxide], and acifluorfen {5‐[2‐chloro‐4‐(trifluoromethyl)phenoxy]‐2‐nitrobenzoic acid}. Peanut seeded in narrow rows had quicker canopy closure than peanut seeded in wide rows. Densities of individual weeds species were not affected, although total weed densities were lower in narrow rows than wide rows. Narrow row spacings with residual herbicides did not reduce herbicide use compared with wide row spacings. Yields were 12% greater in narrow rows than wide rows. While narrow row spacings did not affect individual weed species and reduce herbicide use, narrow row spacings supplement herbicides by reducing the total number of weed escapes.
AUTOMATED CALIBRATION STAMP TECHNOLOGY FOR IMPROVED IN‐SEASON NITROGEN FERTILIZATION
Authors: Raun W. R. , Solie J. B. , Stone M. L. , Zavodny D. L. , Martin K. L. , Freeman K. W.
Published: July 2022

Midseason fertilizer N is currently recommended using a wide range of differing soil‐test, plant‐test, and soil‐N mineralization procedures. The objective of this paper is to present an applied approach for determining midseason fertilizer N rates. A conventional 2003 Honda FourTrax Foreman ES four‐wheeler (433 cc, 127 cm wheel base, 116 cm wide) with a 3 m wide spray boom and a 1‐m spacing between nozzles was modified to deliver a range of fixed N rates as urea ammonium nitrate (28%N) within a 9 m2 grid. Within each grid, nine separate 1 m2 areas exist, whereby each of the four corners receive no fertilizer N. Rates of 22, 45, 67, 90, and 112 kg N ha−1 occupy the other five, 1 m2 areas within the 9 m2 grid (termed as an N rate calibration stamp). Traveling at 8 km h−1 (5 mph), consecutive 9 m2 grids can be applied continuously. Calibration stamps should be applied preplant or soon thereafter and superimposed on top of the farmer practice. By midseason, differences between the 1 m2 N rate areas can be visualized and a field‐specific topdress N rate prescribed by choosing the lowest N rate where no visual differences were observed between it and the highest rate. Calibration stamps applied preplant or soon after planting can assist in providing visual interpretation of N mineralization + atmospheric N deposition from planting to the time midseason N is applied, and improved determination of topdress N rates.
ROLE OF SOCIAL CAPITAL IN PROFESSIONAL SOCIALIZATION OF PERSONALITY
Authors: Pohribna Viktoriia
Published: July 2022

The article analyzes the influence of social capital on the process and result of professional socialization of the individual, argues that in the mechanism of professional socialization social capital largely determines the choice by the individual of identification objects and value-normative system that will regulate his or her behaviour. It is emphasized that social capital of the professional environment in which the individual finds himself can not only promote but also hinder the accumulation of socially acceptable cultural skills, knowledge and information. This is due to the social and moral orientation of the value system on which it is based.
PERSONAL INFORMATION SECURITY: FACTORS OF HOMEOSTASIS
Authors: Kvitkin Petro , Diatlova Iryna , Petrova Lyudmyla
Published: July 2022

The problem of homeostasis of personal information security in modern society is considered. The factors influencing the state and trends of personal information security have been investigated. Factors for homeostasis of personal information security have been determined. The directions of activities to ensure homeostasis of information security of an individual in the modern conditions of the Ukrainian society are substantiated.
Change patterns of precipitation anomalies and possible teleconnections with large-scale climate oscillations over the Yangtze River Delta, China
Authors: Xu Yu , Zhao Yan , Wu Yanjuan , Gao Chao
Published: July 2022

In view of the key factor in regional hydrological processes and water resource management, the temporal patterns of precipitation anomalies and oscillations were detected by the Quantile Perturbation Method (QPM) and the Singular Spectrum Analysis (SSA) Method, and the spatial patterns were identified using the Principal Component Analysis (PCA) Method. In addition, the teleconnections and lagged influence with large-scale climate oscillations in the Yangtze River Delta (YRD) of China from 1957 to 2016 were also analyzed. Results showed that, temporally, the main oscillations of precipitation were all found to be 2, 7–11 and 3–4 years in the annual and seasonal scales. Precipitation quantiles are subject to strong temporal oscillations at (multi-)decadal time scales, with high and low anomalies at specific periods. Spatially, the whole region could be divided into two main sub-regions in annual and seasonal scales, respectively. Among the selected large-scale climate oscillations in this study, the Pacific Decadal Oscillation (PDO) has a stronger influence on precipitation in March, July and September, but significant correlations were detected in more than 18% of the total stations. These stations were mainly in the southeast regions. The North Pacific index (NP) controlled the precipitation in February (13.95% of the total stations) and October (37.21% of the total stations) in the north region. Generally, the indicators of the Southern Oscillation Index (SOI) and Oceanic Niño 4 SST Index (ONI) had the strongest influence in regional precipitation variations, but significant correlations were detected in more than 20% of the total stations in March, September, October and November. Also, large-scale climate oscillations have a delayed way on precipitation. Among the oscillations, the Arctic Oscillation (AO) and North Atlantic Oscillation (NAO) showed that significant cross-correlations on precipitation were 0 and 3–5 months, respectively. NP showed significant cross-correlations with precipitation in many stations when the lag time was 0–3 months. Generally, the PDO, SOI and ONI have a greater influence in the south region, mainly with the lag time of 0–3, 2–3 and 1–5 months, respectively. The results will provide a basis for taking relevant measures to deal with problems of meteorological disaster and water supplement under climate change.
Need to educate farmers about the benefits of using treated wastewater for agriculture
Authors: Baanu B. Bharani , Babu K. S. Jinesh , Baskaran Anuradha
Published: July 2022

Treated wastewater (TWW) reuse is one of the strategic options for preserving available freshwater resources and ensuring sustainability. The success of any utility project is centered on public acceptance and utilization. A questionnaire is randomly distributed to 397 farmers to study the willingness to use TWW reuse for agriculture and pay for the reuse. The socio-economic profile of the farmers, satisfaction of water supply, and agricultural factors are considered as the influential parameters. Descriptive analysis, χ2 test, Mann–Whitney U test, and binary logistic method are used for statistical analysis. The analyses reveal that more than 90% of the farmers have willingness to use TWW due to water scarcity. However, most of them are unwilling to pay for the reuse due to their straitened economic conditions. The physicochemical characteristics of the TWW from a wastewater treatment plant are analyzed and possible reductions in the application of fertilizer quantity and cost are quantified. An attempt to improve the percentage of willingness to pay for the TWW reuse is made by detailing the economic benefits of TWW reuse. A significant percentage of the farmers who were initially opposed to paying for the TWW reuse have budged to pay for TWW at a subsidized cost.
Enzymatic Strategies for the Preparation of Pharmaceutically Important
Amino Acids through Hydrolysis of Amino Carboxylic Esters
and Lactams
Authors: Forró Enikő , Fülöp Ferenc
Published: July 2022

The most relevant lipase-catalyzed strategies for the synthesis of pharmaceutically
important cyclic and acyclic α-, β- and γ-amino carboxylic acid enantiomers through
hydrolysis of the corresponding amino carboxylic esters and lactams, over the last decade
are overviewed. A brief Introduction part deals with the importance and synthesis of enantiomeric
amino acids, and formulates the objectives of the actual work. The strategies are
presented in the Main Text, in chronological order, classified as kinetic, dynamic kinetic
and sequential kinetic resolution. Mechanistic information of the enzymatic transformations
is also available at the end of this overview. The pharmacological importance of
the enantiomeric amino acids is given next to their synthesis, in the Main Text, and it is
also illustrated in the Conclusions and Outlook sections.
Crosstalk between Exosomes and CAFs During Tumorigenesis, Exosomederived
Biomarkers, and Exosome-mediated Drug Delivery
Authors: Li Xian , Wu Xinlin , Su Xiulan
Published: July 2022

Cancer‐Associated Fibroblasts (CAFs) originate from the activation of fibroblasts in the
Tumor Microenvironment (TME) during tumorigenesis, resulting in the promotion of tumor growth,
metabolism, and metastasis. Exosomes, which can locally or remotely transfer miRNAs, lncRNAs,
proteins, metabolites, and other substances to other cells, have a size and range distribution of 30 to
150 nm and have been described as new particles that mediate communication among neighboring
and/or distant cells. Exosomes have regulatory roles in the tumor microenvironment that are different
from those in the tumor cells, including mediating the regulation of tumor progression, delivery
of miRNAs involved in reprogramming Normal Fibroblasts (NFs) into CAFs, and the modulation of
tumor initiation and metastasis. Exosomes can be useful biomarkers of the tumor microenvironment
and for the therapy and diagnosis of different diseases. Relevant interactions with cancer cells reprogram
NFs into CAFs or allow cell-to-cell communication between CAFs and cancer cells. Several
researchers have started exploring the precise molecular mechanisms related to exosome secretion,
uptake, composition, and corresponding functions of their "cargo." However, little is known about
the processes by which exosomes affect cancer behavior and their potential use as diagnostic biomarkers
for cancer treatment. Therefore, the crosstalk between CAFs and exosomes during tumorigenesis
and the effects of exosomes as biomarkers and drug carriers for therapy are discussed in this
review.
Plant Extracts and Phytochemicals, a Promising Strategy Against
Oral Lichen Planus: A Review on Clinical Trials
Authors: Gupta Swati , Nath Lekshmi R. , Mangalathillam Sabitha
Published: July 2022

Background:

Oral lichen planus (OLP) is an autoimmune disease that distress
keratinized cells of the oral epithelium. Topical corticosteroids and other potential therapies
like immunosuppressives, hydroxychloroquine, azathioprine, mycophenolate, dapsone,
retinoids, biologic agents are used for the management of OLP. However, their effectiveness,
best dose, duration of treatment and safety remain mostly unidentified. Moreover,
recurrence of disease and dose-related side effects are the other issues.

Objective:

The primary objective of the review is to explore the existing clinical trials for
the efficacy of phytochemicals in treating OLP in comparison to corticosteroids. A comprehensive
information about their mode of action is also discussed.

Method:

We have discussed different clinical trials conducted on various phytochemicals
and plant extracts/formulations like curcumin, lycopene, quercetin, glycyrrhizin, purslane,
raspberry, aloe vera gel and aloe vera mouthwash for the treatment of OLP.

Result:

The current therapy for the management of OLP has numerous adverse effects and
requires a long-term treatment. Phytochemicals can be a very good alternative in overcoming
these side effects and reducing the course of treatment.

Conclusion:

Herbal extracts and their formulations can be an effective alternative to the
current therapy due to their proven therapeutic effects, reduced side effects, long-term applicability,
prevention of recurrence as well as progression into cancer.
Gap Analysis: Quality and Women's Satisfaction Regarding Postnatal Care
Authors: Al-Hussainy Rehab Hussain , Fouly Howieda , Abou Hashish Ebtsam Aly
Published: July 2022

Background:

Improving the quality of maternal health is one of the eight major developmental goals of the World Health Organization. Women's satisfaction with maternity healthcare services is a crucial indicator of quality health care.

Objective:

This study aimed to evaluate the gap between the quality of maternity care and women's satisfaction with postnatal care.

Methods:

This study used a descriptive cross-sectional study design. The sample size was 300 postpartum Saudi women. The data were collected from the postnatal care unit at the King Khalid Hospital, Jeddah, Saudi Arabia, The study used the SERVQUAL and Postnatal Satisfaction with Nursing Care Questionnaires to measure the studied variables.

Results:

Themean ± SD(3.73 ± 0.466) of women perceived that the provided care was of high quality and themean ±SD(3.20±0.511) of women's satisfaction with postnatal care was moderate. The gap between expected and perceived quality of maternity care was reported to be -1.27. There is a significant positive relationship between the quality of maternity care and women's satisfaction.

Conclusion:

The study concluded that the participants were generally satisfied with the postnatal care and overall maternity care provided in the King Khalid Hospital. However, they showed the desire to get more empathetic care. Patients' satisfaction should be evaluated periodically to establish baseline data and provide postnatal care interventions tailored to women's expectations. There is a need to increase training for enhancing healthcare providers' empathetic and communication skills to improve the relationship between the staff and women.
Persepsi Petani dalam Mendukung Smart-Eco Bioproduction di Desa Sumber Agung Kecamatan Jetis Kabupaten Bantul
Authors: Wastutiningsih Sri Peni , Rochim Rani Nur , Zahroh Fauhatuz , Kurniawan Akbar , Alzuhdy Zulfa Parulian , Maulida Yuhan Farah
Published: July 2022

Budidaya pertanian yang minim input dan dijalankan oleh sumber daya manusia dengan kualitas yang lemah akan semakin membebani sektor pertanian sehingga perlu pengembangan budidaya pertanian yang lebih efisien, produktif namun tetap ramah lingkungan (smart-eco bioproduction). Implementasi pertanian cerdas ramah lingkungan seperti yang menjadi tujuan smart-eco bioproduction diharapkan dapat meningkatkan kesejahteraan petani serta menjaga lingkungan tetap lestari. Persepsi petani akan konsep serta kesiapan dalam implementasi smart-eco bioproduction sangat penting untuk diteliti karena adanya persepsi secara tidak langsung akan mendasari petani untuk menentukan sikap untuk melakukan teknik budidaya pertanian cerdas ramah lingkungan atau tidak. Oleh karena itu, penelitian ini dilaksanakan di Kecamatan Jetis, Kabupaten Bantul, dengan tujuan untuk mengetahui 1) Persepsi petani terhadap konsep smart-eco bioproduction; dan 2) persepsi petani terhadap kesiapan pemerintah dalam mengimplementasikan smart-eco bioproduction. Metode yang digunakan dalam penelitian adalah analisis deskriptif dengan pendekatan kualitatif dan kuantitatif. Teknik untuk menentukan sampel menggunakan simple random sampling. Hasil penelitian menunjukkan bahwa sebagian besar petani memiliki persepsi yang baik (71,26 %) terhadap konsep pertanian cerdas ramah lingkungan seperti yang diejawantahkan dalam konsep smart-eco bioproduction. Di sisi lain, persepsi mereka terhadap kesiapan pemerintah untuk mengimplementasikan konsep ini juga tergolong baik (79,57 %). 
Keunggulan Komparatif dan Kompetitif Usahatani Padi di Kabupaten Ponorogo – Jawa Timur
Authors: Inayati Alfi , Suhartini Suhartini , Nugroho Condro Puspo
Published: July 2022

Penelitian ini bertujuan untuk menganalisis pendapatan finansial dan ekonomi usahatani padi di Kabupaten Ponorogo, menganalisis keunggulan komparatif dan kompetitif usahatani padi di Kabupaten Ponorogo, menganalisis tingkat sensitivitas keunggulan komparatif dan kompetitif usahatani padi terhadap penurunan jumlah output, kenaikan harga input berupa pupuk anorganik dan perubahan nilai tukar rupiah. Metode penentuan lokasi dilakukan secara purposive. Sedangkan penentuan sampel menggunakan pendekatan non-probability sampling dengan metode purposive sampling, dengan melakukan wawancara terhadap 33 responden. Metode analisis data yang digunakan yakni analisis finansial dan ekonomi, DRC (Domestic Resource Cost), PCR (Privat Cost Ratio) dan analisis sensitivitas. Hasil analisis menunjukkan bahwa, usahatani padi di Kabupaten Ponorogo menguntungkan secara finansial dan ekonomi, dengan perolehan pendapatan usahatani secara finansial sebesar Rp 14.142.433,-/hektar/musim tanam dan pendapatan usahatani secara ekonomi sebesar Rp 25.436.281,-/hektar/musim tanam. Usahatani padi di Kabupaten Ponorogo memiliki keunggulan komparatif dan kompetitif, yang dibuktikan dari nilai DRCR dan PCR kurang dari satu yakni berturut-turut sebesar 0,474 dan 0,596, yang berarti bahwa penggunaan biaya sumberdaya domestik dalam usahatani padi di Kabupaten Ponorogo telah efisien baik secara ekonomi maupun finansial. Analisis sensitivitas menunjukkan bahwa tingkat keunggulan komparatif dan kompetitif usahatani padi di Kabupaten Ponorogo memiliki kepekaan terhadap peningkatan jumlah output, kenaikan harga input berupa pupuk anorganik dan perubahan nilai tukar rupiah.
Pengaruh Marketing Mix Produk Melon Hidroponik The Farmhill terhadap Loyalitas Pelanggan di Kota Semarang
Authors: Afza Mashita Alfairuz , Budiraharjo Kustopo , Prasetyo Edy
Published: July 2022

Penelitian dilaksanakan pada bulan Januari – Maret 2021 di The Farmhill store Kota Semarang. Lokasi penelitian ditentukan secara sengaja (purposive). Penelitian bertujuan menganalisis bauran pemasaran produk melon hidroponik dan menganalisis pengaruh bauran pemasaran melon hidroponik The Farmhill terhadap loyalitas pelanggan di Kota Semarang. Metode penelitian menggunakan survey. Teknik pengambilan sampel menggunakan accidental sampling. Sampel yang digunakan sebanyak 100 pelanggan melon hidroponik di The Farmhill di Kota Semarang. Data yang dikumpulkan dari data primer dan sekunder. Metode analisis data menggunakan paket program SPSS 21.0. Metode analisis data menggunakan analisis regresi linier berganda. Hasil penelitian adalah nilai dari Adjusted R Square sebesar 0,732 atau 73,2%, yang menunjukkan bahwa variabel produk, harga, tempat, dan promosi berpengaruh terhadap variabel loyalitas pelanggan sebesar 0,732 atau 73,2% dan sisanya 26,8 % dipengaruhi oleh variabel lain. Aspek marketing mix yang meliputi variabel produk, harga, tempat, dan promosi secara serempak berpengaruh secara signifikan terhadap loyalitas pelanggan melon hidroponik The Farmhill di Kota Semarang. Secara parsial aspek marketing mix yang meliputi variabel produk, tempat, dan promosi berpengaruh terhadap loyalitas pelanggan melon hidroponik The Farmhill di Kota Semarang, sedangkan variabel harga tidak mempengaruhi loyalitas pelanggan melon hidroponik The Farmhill di Kota Semarang.
Daya Saing Jagung di Kabupaten Dairi Provinsi Sumatera Utara
Authors: Situmorang Helentina
Published: July 2022

Permasalahan dalam usahatani jagung adalah produktivitasnya yang rendah sehingga daya saing usahatani jagung rendah. Penelitian ini bertujuan untuk menganalisis daya saing usahatani jagung dan dampak kebijakan input dan output terhadap daya saing usahatani jagung di Kabupaten Dairi. Metode penelitian yang digunakan adalah Analisis Matriks Kebijakan (PAM). Penelitian ini menggunakan data cross section. Hasil penelitian  menunjukkan usahatani jagung memiliki keunggulan kompetitif dan komparatif. Analisis PAM juga menunjukkan bahwa kebijakan input melindungi petani jagung, tetapi kebijakan output tidak melindungi petani jagung.
Pengaruh Kesadaran dan Citra Merek terhadap Keputusan Konsumen pada Pembelian Buah dan Sayur The Farmhill Semarang
Authors: Safitri Hasdian Kharisma , Budiraharjo Kustopo , Mukson Mukson
Published: July 2022

Penelitian ini bertujuan untuk menganalisis pengaruh kesadaran dan citra merek terhadap keputusan pembelian buah dan sayur The Farmhill Semarang. Penelitian dilaksanakan pada bulan Januari – Maret 2021 di The Farmhill Store Semarang. Penelitian ini diharapkan memberikan manfaat berupa informasi dan bahan pertimbangan bagi konsumen dalam melakukan pembelian buah dan sayur, memberikan informasi kepada produsen tentang besarnya pengaruh kesadaran  dan citra merek terhadap keputusan pembelian kosumen dan sebagai bahan pertimbangan produsen dalam melakukan branding produk. Lokasi penelitian ditentukan secara sengaja (purposive). Metode penelitian yang digunakan yaitu metode studi kasus dengan metode pengambilan sampel accidental sampling. Jumlah sampel sebanyak 100 konsumen. Metode pengumpulan data primer dengan wawancara menggunakan kuesioner terstruktur serta data sekunder dari literatur dan jurnal. Metode analisis data menggunakan analisis deskriptif dan statistik dengan alat bantu Smart PLS 3.0. Hasil penelitian yang diperoleh yaitu nilai koefisien jalur pada X1 terhadap Y sebesar 0,482 dan X2 terhadap Y sebesar 0,47. Nilai t statistik X1 sebesar 5,619 dan X2 sebesar 5,641. Nilai t statistik lebih tinggi dari 1,96 yang berarti bahwa kesadaran dan citra merek memiliki pengaruh  positif dan signifikan terhadap keputusan pembelian konsumen buah dan sayur The Farmhill. Nilai R square sebesar 0,82 berarti bahwa variabel eksogen menjelaskan pengaruh variabel endogen sebesar 82%. Model penelitian yang digunakan tergolong baik yang ditunjukkan oleh nilai NFI sebesar 0,762 lebih besar dari standar yaitu 0,5.
Pengaruh Social Media Marketing terhadap Minat dan Keputusan Pembelian Konsumen pada Usaha Makanan Sehat di Kota Malang
Authors: Othysalonika Othysalonika , Muhaimin Abdul Wahib , Faizal Febriananda
Published: July 2022

Perkembangan bisnis kuliner di kota Malang setiap tahun selalu mengalami kenaikan, sehingga membuat persaingan antar perusahaan semakin ketat. Strategi untuk menghadapi persaingan yaitu dengan menerapkan pemasaran secara daring melalui media sosial, karena jumlah penggunanya yang semakin banyak. Penelitian ini bertujuan untuk mengetahui pengaruh social media marketing terhadap minat dan keputusan pembelian konsumen di usaha makanan sehat Dailee. Elemen social media marketing sebagai variabel bebas terdiri dari context, content, communication, dan connection. Teknik pengambilan sampel yang digunakan adalah purposive sampling dengan jumlah responden sebanyak 60 orang. Pengumpulan data dilakukan menggunakan kuisioner dengan pengukuran skala Likert. Teknik analisis dilakukan dengan menggunakan SEM-PLS diolah dengan software WarpPLS 7.0. Hasil penelitian menunjukkan empat elemen social media marketing berpengaruh positif dan signifikan terhadap minat beli dan keputusan pembelian konsumen di usaha makanan sehat Dailee.
Hydrocracking of Di-and Triaromatic Hydrocarbons to Monoaromatics over Mixed Bi-functional Catalysts
Authors:   SABIC Research and Technology Pvt. Ltd, Chikkadunnasandra, Anekal Taluk, Off. Sarjapura ‑ Attibele State Highway, Bangalore, Karnataka 562125, India, Mettu Anilkumar , Loke Ninad ,   SABIC Research and Technology Pvt. Ltd, Chikkadunnasandra, Anekal Taluk, Off. Sarjapura ‑ Attibele State Highway, Bangalore, Karnataka 562125, India, Patil Vilas ,   SABIC Research and Technology Pvt. Ltd, Chikkadunnasandra, Anekal Taluk, Off. Sarjapura ‑ Attibele State Highway, Bangalore, Karnataka 562125, India, Panday Rahul ,   SABIC Research and Technology Pvt. Ltd, Chikkadunnasandra, Anekal Taluk, Off. Sarjapura ‑ Attibele State Highway, Bangalore, Karnataka 562125, India, Gajula Sreenivasarao ,   SABIC Research and Technology Pvt. Ltd, Chikkadunnasandra, Anekal Taluk, Off. Sarjapura ‑ Attibele State Highway, Bangalore, Karnataka 562125, India
Published: July 2022

In this study, we present selective hydrocracking of poly (di and tri) aromatic compounds to monoaromatics, such as benzene, toluene, and xylenes (BTX), over a mixture of Pt/Al2O3 and Y zeolites. The polyaromatic compounds feed is a combined simulated model feed, which is similar to light cycle oil (LCO) in composition. The feed is processed in a fixed bed reactor over a catalyst mixture: in the first step, selective hydrogenation of di and tri-aromatic compounds occurs in the presence of Pt/Al2O3 catalyst, followed by conversion of selective hydrocracking of partial hydrogenated polyaromatic hydrocarbons into BTX-rich stream over Y zeolite. The structural properties and Pt dispersion of Pt/Al2O3 were studied by X-ray powder diffraction (XRD) and high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM). The acidity of Y zeolite with different SiO2/Al2O3 ratios (SAR) was studied by temperature-programmed desorption of NH3 (NH3-TPD). In addition, the textural properties of catalysts were determined using the N2 adsorption and desorption method. Different parameters such as the effect of temperature, effect of weight hourly space velocity (WHSV), different SAR of Y zeolite, Pt/Al2O3, and Y zeolite wt% ratios, and paraffin concentration were investigated. The maximum BTX yield of ~28 wt.% was obtained at 450°C, WHSV-0.7 h-1, H2 pressure 60 bar, Pt/Al2O3, and Y zeolite ratios of 1:2 (wt%) at Y zeolite SAR of 80. These results suggest that the yield of BTX strongly depends on the hydrogenation function (Pt/Al2O3) and acidity function of Y zeolite. Furthermore, the concentration of paraffin plays a key role in the conversion of diaromatics and triaromatics and desired products of BTX formation.
Development of a Multiepitope Vaccine Against SARS-CoV-2: Immunoinformatics Study
Authors: Ghafouri Fatemeh , Ahangari Cohan Reza , Samimi Hilda , Hosseini Rad S M Ali , Naderi Mahmood , Noorbakhsh Farshid , Haghpanah Vahid
Published: July 2022

Background

Since the first appearance of SARS-CoV-2 in China in December 2019, the world witnessed the emergence of the SARS-CoV-2 outbreak. Due to the high transmissibility rate of the virus, there is an urgent need to design and develop vaccines against SARS-CoV-2 to prevent more cases affected by the virus.

Objective

A computational approach is proposed for vaccine design against the SARS-CoV-2 spike (S) protein, as the key target for neutralizing antibodies, and envelope (E) protein, which contains a conserved sequence feature.

Methods

We used previously reported epitopes of S protein detected experimentally and further identified a collection of predicted B-cell and major histocompatibility (MHC) class II–restricted T-cell epitopes derived from E proteins with an identical match to SARS-CoV-2 E protein.

Results

The in silico design of our candidate vaccine against the S and E proteins of SARS-CoV-2 demonstrated a high affinity to MHC class II molecules and effective results in immune response simulations.

Conclusions

Based on the results of this study, the multiepitope vaccine designed against the S and E proteins of SARS-CoV-2 may be considered as a new, safe, and efficient approach to combatting the COVID-19 pandemic.
A “No-Code” App Design Platform for Mobile Health Research: Development and Usability Study
Authors: Liu Sam , La Henry , Willms Amanda , Rhodes Ryan E
Published: July 2022

Background

A challenge facing researchers conducting mobile health (mHealth) research is the amount of resources required to develop mobile apps. This can be a barrier to generating relevant knowledge in a timely manner. The recent rise of “no-code” software development platforms may overcome this challenge and enable researchers to decrease the cost and time required to develop mHealth research apps.

Objective

We aimed to describe the development process and the lessons learned to build Pathverse, a no-code mHealth app design platform.

Methods

The study took place between November 2019 and December 2021. We used a participatory research framework to develop the mHealth app design platform. In phase 1, we worked with researchers to gather key platform feature requirements and conducted an exploratory literature search to determine needs related to this platform. In phase 2, we used an agile software framework (Scrum) to develop the platform. Each development sprint cycle was 4 weeks in length. We created a minimum viable product at the end of 7 sprint cycles. In phase 3, we used a convenience sample of adults (n=5) to gather user feedback through usability and acceptability testing. In phase 4, we further developed the platform based on user feedback, following the V-model software development process.

Results

Our team consulted end users (ie, researchers) and utilized behavior change technique taxonomy and behavior change models (ie, the multi-process action control framework) to guide the development of features. The first version of the Pathverse platform included features that allowed researchers to (1) design customized multimedia app content (eg, interactive lessons), (2) set content delivery logic (eg, only show new lessons when completing the previous lesson), (3) implement customized participant surveys, (4) provide self-monitoring tools, (5) set personalized goals, and (6) customize app notifications. Usability and acceptability testing revealed that researchers found the platform easy to navigate and that the features were intuitive to use. Potential improvements include the ability to deliver adaptive interventions and add features such as community group chat.

Conclusions

To our knowledge, Pathverse is the first no-code mHealth app design platform for developing mHealth interventions for behavior. We successfully used behavior change models and the behavior change technique taxonomy to inform the feature requirements of Pathverse. Overall, the use of a participatory framework, combined with the agile and hybrid-agile software development process, enabled our team to successfully develop the Pathverse platform.
Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach (Preprint)
Authors: Ahne Adrian , Khetan Vivek , Tannier Xavier , Rizvi Md Imbesat Hassan , Czernichow Thomas , Orchard Francisco , Bour Charline , Fano Andrew , Fagherazzi Guy
Published: July 2022

BACKGROUND

Intervening in and preventing diabetes distress requires an understanding of its causes and, in particular, from a patient’s perspective. Social media data provide direct access to how patients see and understand their disease and consequently show the causes of diabetes distress.

OBJECTIVE

Leveraging machine learning methods, we aim to extract both explicit and implicit cause-effect relationships in patient-reported diabetes-related tweets and provide a methodology to better understand the opinions, feelings, and observations shared within the diabetes online community from a causality perspective.

METHODS

More than 30 million diabetes-related tweets in English were collected between April 2017 and January 2021. Deep learning and natural language processing methods were applied to focus on tweets with personal and emotional content. A cause-effect tweet data set was manually labeled and used to train (1) a fine-tuned BERTweet model to detect causal sentences containing a causal relation and (2) a conditional random field model with Bidirectional Encoder Representations from Transformers (BERT)-based features to extract possible cause-effect associations. Causes and effects were clustered in a semisupervised approach and visualized in an interactive cause-effect network.

RESULTS

Causal sentences were detected with a recall of 68% in an imbalanced data set. A conditional random field model with BERT-based features outperformed a fine-tuned BERT model for cause-effect detection with a macro recall of 68%. This led to 96,676 sentences with cause-effect relationships. “Diabetes” was identified as the central cluster followed by “death” and “insulin.” Insulin pricing–related causes were frequently associated with death.

CONCLUSIONS

A novel methodology was developed to detect causal sentences and identify both explicit and implicit, single and multiword cause, and the corresponding effect, as expressed in diabetes-related tweets leveraging BERT-based architectures and visualized as cause-effect network. Extracting causal associations in real life, patient-reported outcomes in social media data provide a useful complementary source of information in diabetes research.
A Web-Based Stress Management Intervention for University Students in Indonesia (Rileks): Feasibility Study Using a Pretest-Posttest Design (Preprint)
Authors: Juniar Dilfa , van Ballegooijen Wouter , Schulte Mieke , van Schaik Anneke , Passchier Jan , Heber Elena , Lehr Dirk , Sadarjoen Sawitri Supardi , Riper Heleen
Published: July 2022

BACKGROUND

University students are susceptible to excessive stress. A web-based stress management intervention holds promise to improve stress but is still at a novel stage in Indonesia.

OBJECTIVE

The aim of this paper was to report the feasibility of the intervention we developed—Rileks—among university students in Indonesia in terms of acceptability and usability, and to propose recommendations for future improvements.

METHODS

A single-group pretest and posttest design was used. Participants with scores of 15 or higher on the stress subscale of the 42-item Depression Anxiety Stress Scales were given access to the intervention (N=68). The main outcome measures were the 8-item Client Satisfaction Questionnaire (CSQ-8) score, the System Usability Scale (SUS) score, and intervention uptake. Participants’ experience in each session was evaluated using closed- and open-ended questions for future improvements. Descriptive statistics were used to examine primary outcome and qualitative session evaluations. Participants’ responses to each topic of the open questions were summarized.

RESULTS

The intervention was evaluated as being satisfactory (CSQ-8 mean score 21.89, SD 8.72; range 8-32). However, the intervention’s usability was still below expectation (SUS mean score 62.8, SD 14.74; range 0-100). The core modules were completed by 10 out of 68 participants (15%), and the study dropout rate was 63% (43/68) at postassessment. In general, the module content was rated positively, with some notes for improvement covering content and technical aspects.

CONCLUSIONS

This study indicates that Rileks is potentially feasible for Indonesian university students. In order to be optimally applied in such a context and before scaling up web-based interventions in Indonesia, in general, further development and refinement are needed.

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/11493
Relation Extraction in Biomedical texts via Multi-Head Attention Mechanism and Syntactic Dependency Feature (Preprint)
Authors: Li Yongbin
Published: July 2022

BACKGROUND

With the rapid expansion of biomedical literature, biomedical information extraction (IE) has attracted more and more attention by researchers, especially the relation extraction (RE) between two entities is a long-term research topic.

OBJECTIVE

This paper focuses on two multi-class relation extraction tasks of BioNLP 2019 Open Shared Tasks: relation extraction of Bacteria-Biotope task (BB-rel) and binary relation extraction of plant seed development task (SeeDev-binary). In essence, these two tasks are aimed to extract the relation between annotated entity pairs from biomedical texts, which is a challenging problem.

METHODS

The traditional research methods adopted feature-based or kernel-based methods, and achieved good performance. For these tasks, we propose a deep learning model based on a combination of several distributed features, such as domain-specific word embedding, part-of-speech (POS) embedding, entity type embedding, distance embedding and position embedding. The Multi-Head attention mechanism is used to extract the global semantic features of a whole sentence. Meanwhile, we introduce dependency type feature and shortest dependency path connecting two candidate entities in the syntactic dependency graph to enrich the feature representation.

RESULTS

Experiments show that our proposed model has excellent performance in biomedical relation extraction, achieves the F1-scores of 65.56% and 38.04% on the test sets of these two tasks, respectively. Especially in SeeDev-binary task, the F1-score of our model is superior to other existing models and achieves state-of-the-art performance.

CONCLUSIONS

We demonstrated that the Multi-Head attention mechanism can learn relevant syntactic and semantic features in different representation subspaces and different positions to extract comprehensive feature representation. Moreover, syntactic dependency features can improve the performance of the model by learning dependency relation between the entities in biomedical texts.
Greenspace exposure is conducive to the resilience of public sentiment during the COVID-19 pandemic (Preprint)
Authors: Song Liuyi , Zhang An , Hu Zhiwen
Published: July 2022

BACKGROUND

With the outbreak of the pandemic, the mental health status of many countries in the world has been significantly negatively affected. If the psychological impact of COVID-19 is not taken seriously, it may further lead to depression, bipolar disorder, schizophrenia, and other psychoses, affecting immune ability to the coronavirus.
Objective: We aimed to explore the impacts of exposure to different geographical environments on public sentiments during the pandemic.

OBJECTIVE

We aimed to explore the impacts of exposure to different geographical environments on public sentiments during the pandemic.

METHODS

In this study, we gathered 4.17 million geotagged social media posts from Weibo and scrutinized the nuances of the collective sentiments of netizens in four megacities in China during the first pandemic wave (from 1 December 2019 to 30 April 2020). We calculated the public sentiment index (SI) and geographical environment exposure by combining natural language processing with geographic information technology, and measured the influence of the urban environment on collective sentiment by GeoDetector.

RESULTS

We found that the positive degree of public sentiment decreased during the pandemic. Public exposure to greenspace increased, while exposure to indoor built space decreased during the lockdown period. The contributions of geographical environment factors (GEFs) to the SIs decreased during the lockdown period, and SIs were strongly affected by the pandemic. However, greenspace had the most potent effect on SIs, improving public sentiment resilience and mitigating mental health risks.

CONCLUSIONS

These findings suggest that we need to focus on the psychological effects of COVID-19 and provide people with the medical care they need in due course. Given that the geographical environment has specific explanatory power for the collective sentiments of the public, we can increase connections with greenspaces and leisure sidewalks to relieve emotional pressure, reducing the risk to mental health during COVID-19.