bluuebunny/crossref_metadata_2025 huggingface dataset:
Tren Konten Instagram Selama Masa Karantina Pandemi COVID-19 di Indonesia
Authors: Fadilla Qholiva Yuni
Published: June 2021

Instagram sebagai media sosial terbesar keempat di dunia dengan persentase 79% mengalami lonjakan penggunaan hingga 40% yang digunakan secara maksimal oleh para penggunanya untuk berkomunikasi dengan keluarga, teman, dan kolega di tengah karantina wilayah atau lockdown. Selain itu, unggahan konten-konten di Instagram juga mengalami kenaikan hingga 15% per harinya. Sejalan dengan melonjaknya penggunaan dan unggahan Instagram per harinya, menarik jika melihat bagaimana aktivitas pengguna Instagram melalui konten-konten yang diunggah di platform ini. Adapun rentang waktu yang dimaksud adalah sejak diberlakukannya karantina wilayah pada Maret 2020 hingga memasuki masa penerapan new normal pada Juni 2020. Penggunaan Instagram erat kaitannya antara manusia dan teknologi dalam sebuah ruang imajiner bernama global village. Penelitian ini menggunakan metode kualitatif deskriptif yang bertujuan untuk memberikan gambaran tren konten Instagram selama masa karantina COVID-19 di Indonesia. Selain itu, penulis juga melakukan wawancara kepada enam informan dari 63 pengguna Instagram yang mana konten foto atau videonya dimuat di dalam penelitian ini. Berdasarkan temuan, penulis menemukan terdapat berbagai jenis tren-tren konten di Instagram seperti Kopi Dalgona, Recreate Grunge Makeup, #PassthBrushChallenge, #LathiChallenge, serta konsep foto Fridgie, Newspaper Corner, dan Outside Mirror Selfie. Instagram sebagai media sosial dengan kekuatan “kita semua terhubung” membentuk ikatan imajiner melalui beberapa tren konten yang lahir dari bentuk kreativitas dan inovasi.

Kata Kunci: Etnografi Virtual, Global Village, Instagram, Karantina COVID-19, Tren Konten
Hubungan Komunikasi dengan Kepuasan Pernikahan pada Ibu Rumah Tangga Penggemar Tayangan Drama Korea
Authors: Maulina Novaria , Atika Atika
Published: June 2021

Komunikasi dalam pernikahan menjadi salah satu kunci dalam mempertahankan hubungan antarpasangan. Perilaku komunikasi yang mengungkapkan perasaan negatif pada pasangan seperti kritik, sikap membela diri, penghinaan dan penarikan diri bisa menjadi awal dari ketidakpuasan dan perceraian. Sebaliknya, pengungkapan perasaan secara positif memiliki efek tersendiri pada stabilitas hubungan pernikahan dari waktu ke waktu. Tujuan penulisan artikel ini untuk mengukur seberapa besar hubungan komunikasi dengan kepuasan pernikahan pada ibu rumah tangga penggemar drama Korea. Penelitian menggunakan pendekatan kuantitatif dengan tipe eksplanatif. Populasi adalah ibu rumah tangga penggemar tayangan drama Korea dengan jumlah 1000 orang yang diambil dari pendugaan proporsi populasi. Pengumpulan data menggunakan instrumen berupa kuesioner untuk mengukur hubungan antara dua variabel dalam penelitian ini (Komunikasi Pernikahan dan Kepuasan Pernikahan) dengan menggunakan uji korelasi rank Spearman. Berdasarkan hasil penelitian, ditemukan hubungan yang kuat dan signifikan antara Komunikasi Pernikahan dan Kepuasan Pernikahan. Kekuatan hubungan dibuktikan dengan nilai korelasi sebesar 0,692 dan signifikansi berada pada angka 0,000. Hal tersebut menunjukkan bahwa ketika komunikasi pernikahan pasangan semakin baik atau positif, maka pasangan tersebut memiliki kepuasan dalam pernikahannya.

Kata Kunci: komunikasi pernikahan, kepuasan pernikahan, drama Korea
Der Gesetzentwurf der FDP, BÜNDNIS90/DIE GRÜNEN und DIE LINKE. – Die bessere Alternative zum derzeitigen Wahlrecht?
Authors: Schleyer Lorenz
Published: June 2021

Die Diskussion zur Reform des Bundestagswahlrechts läuft nun seit 15 Jahren und scheint noch lange nicht am Ende. Nach dem Scheitern der Wahlrechtskommission unter Leitung von Wolfgang Schäuble stellten die Fraktionen FDP, Bündnis90/DIE GRÜNEN und DIE LINKE einen gemeinsamen Gesetzentwurf als Beitrag zur Reform des Wahlrechts vor. Dieser Gesetzentwurf ist politikwissenschaftlich relevant, da die Oppositionsfraktionen mit diesem Entwurf eine Alternative zum, aus den Fraktionspositionen in der inoffiziellen Wahlrechtskommission antizipierten, möglichen Gesetzentwurf der Regierungsmehrheit stellen wollten. Der Entwurf wird in diesem Arbeitspapier mit der Frage „Eine Alternative zum derzeitigen Wahlrecht?“ auf seine Güte untersucht. Dazu wurde der Kriterienkatalog zur Bewertung von Wahlsystemreformen, aus Behnke et al. (2017) herangezogen. Die Kriterien sollen einen Analyserahmen bilden, um das aktuelle Wahlrecht auf standardisierte Weise mit dem Gesetzentwurf zu vergleichen. Am Ende des Papiers konnte festgestellt werden, dass der Entwurf eine durchaus tragfähige Alternative darstellt. Das Arbeitspapier leistet einen Beitrag zur Diskussion im Reformprozess zum Wahlrecht, indem sie einen standardisierten Vergleich des aktuellen Wahlrecht (Stand 10.09.2020) mit dem vorliegenden Gesetzentwurf vollzieht.
Bone recurrence in early breast cancer patients: The paradox of aromatase inhibitors induced bone resorption
Authors: Pavese Francesco , Parisi Alessandro , Rotondaro Silvia , Cocciolone Valentina , Pierorazio Giovanni , Sidoni Tina , Verna Lucilla , Porzio Giampiero , Ficorella Corrado , Cannita Katia
Published: June 2021

BACKGROUND: Despite the increase in chances of cure for early breast cancer (EBC) patients, approximately 20–45% of them will experience a disease recurrence, particularly bone metastases in 60–80% of cases, which occur more frequently in luminal subtypes. Endocrine therapy (ET) has always been the milestone of adjuvant treatment for hormone receptor-positive EBC patients, leading to indubitable reduction of disease recurrence risk. However, adjuvant aromatase inhibitors (AIs) therapy may promote a progressive decrease in bone mineral density (BMD), which can lead to osteoporosis. The increased bone resorption associated with osteoporosis may provide fertile soil for cancer growth and accelerate the development of bone metastases. PATIENTS AND METHODS: In this single-institution cohort study, we performed a retrospective analysis of “luminal-like” EBC patients who experienced bone recurrence after a subsequent disease free interval. The aim of the study was to evaluate the median time to skeletal recurrence (TSkR). RESULTS: 143 patients experienced bone recurrence. Median TSkR was 54 months (95%CI: 45–65). Among patients who received adjuvant AIs median TSkR was 35 months (95%CI: 25–54), while among patients who did not was 61 months (95%CI: 50–80) (HR = 1.45 [95%CI: 0.97–2.17], p = 0.0644). After adjusting for TNM stage (AJCC 8th edition), adjuvant AIs treatment was significantly related to a shorter TSkR (HR = 1.60 [95%CI: 1.06–2.42], p = 0.0244). Adjuvant Tamoxifen, adjuvant AIs/Tamoxifen and no-treatment did not revealed to be associated to TSkR. CONCLUSIONS: In this cohort of EBC patients with bone recurrence, AIs treatment seems to be related to a shorter TSkR. AIs-induced bone resorption might represent the underlying mechanism.
Low diffusion level within a fibroadenoma as the sole sign of ductal carcinoma in situ: A case report
Authors: Tagliati Corrado , Lanni Giuseppe , Cerimele Federico , Di Martino Antonietta , Calamita Valentina , Lucidi Pressanti Gabriella , Mingliang Ying , Giuseppetti Gian Marco , Argalia Giulio , Giovagnoni Andrea
Published: June 2021

We present a case of ductal carcinoma in situ within a fibroadenoma. Breast cancer arising within fibroadenoma incidence ranges from 0.125% to 0.02%, and ductal carcinoma in situ is not the most frequent malignancy that can be found within a fibroadenoma. Dynamic contrast-enhanced magnetic resonance imaging showed an oval mass with circumscribed margins and dark internal septations, suspicious for fibroadenoma. According to European Society of Breast Radiology diffusion-weighted imaging consensus, mean apparent diffusion coefficient value obtained by drawing a small region of interest on the lesion apparent diffusion coefficient map showed a low diffusion level. Therefore, ductal carcinoma in situ within a fibroadenoma was diagnosed at final pathology after surgical excision.
Relationships between alexisomia and the presence of latent trigger points in the upper trapezius of healthy volunteers
Authors: Hasuo Hideaki , Shimazu Mariko , Sakamoto Ryo , Shizuma Hisaharu , Nakura Miki , Oka Takakazu
Published: June 2021

BACKGROUND: Alexisomia is characterized by difficulties in the awareness and expression of somatic feelings. Trigger points are classified into two types, active and latent, according to the presence or absence of identifying spontaneous pain. OBJECTIVE: We aimed to examine the association between alexisomia and the presence of latent trigger points (LTrPs) in the upper trapezius of healthy volunteers. METHODS: This study was designed as a cross-sectional survey. A correlation analysis between the Shitsu-Taikan-Sho Scale (STSS) and LTrPs was performed on 154 healthy volunteers. The LTrP odds ratio for healthy volunteers with alexisomia was selected as the primary endpoint. RESULTS: LTrPs were seen in the upper trapezius of 82 healthy volunteers (53.2%). There was no significant difference between the LTrP and non-LTrP groups in STSS total score (p= 0.11). However, there was a significant difference between them in STSS difficulty of identifying bodily feelings (DIB) score (p= 0.03). In the alexisomic versus non-alexisomic groups, the LTrP odds ratio for STSS total score was 2.30 (95% confidence interval [CI] 1.03–5.10) and for STSS DIB score, 2.08 (95% CI 1.05–4.11). CONCLUSIONS: In STSS DIB in particular, alexisomia was associated with the presence of LTrP in the upper trapezius of healthy volunteers.
A single intraarticular platelet-rich plasma improves pain and function for patients with early knee osteoarthritis: Analyses by radiographic severity and age
Authors: Sun Shu-Fen , Hsu Chien-Wei , Lin Huey-Shyan , Liou I-Hsiu , Chou Yi-Chun , Wu Shin-Yi , Huang Hung-Ya
Published: June 2021

BACKGROUND: Most studies use platelet-rich plasma (PRP) requiring multiple intraarticular injections for knee osteoarthritis (OA). OBJECTIVE: To investigate the efficacy of a single intraarticular PRP injection for patients with early knee OA and consider subgroup analyses of radiographic severity and age, respectively. METHODS: Forty-one patients with knee OA (Kellgren-Lawrence grade 1–2) received a single PRP injection into the target knee and were assessed at baseline and 1, 3, and 6 months postinjection. The primary outcome was the mean change from baseline in the visual analog scale (VAS) pain (0–100 mm) at 6 months postinjection. Secondary outcomes included the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Lequesne index, single leg stance test (SLS), use of rescue analgesics and patients’ satisfaction. RESULTS: Thirty-eight patients completed the study. The mean pain VAS decreased significantly from 45.6 ± 13.0 mm at baseline to 16.9 ± 13.4 mm, 14.0 ± 13.1 mm and 15.5 ± 14.0 mm at 1, 3 and 6-month follow-ups (p< 0.001 for all). Significant improvements in WOMAC, Lequesne index, SLS and consumption of analgesics from baseline (p< 0.001 for all) were noted at each follow-up. Patients’ satisfaction was high. No serious adverse events occurred. Subgroup analyses revealed that patients with grade 1 OA showed significantly greater VAS pain reduction at 3 months (p= 0.006) and 6 months (p= 0.005) than patients with grade 2 OA. The older-age group (age > 60) showed significantly greater improvements in VAS pain, WOMAC function subscale scores and total scores at 6-month postinjection, compared with the younger age-group (age ≤ 60). The younger-age group reported better satisfaction at 1 and 3-month postinjection. CONCLUSIONS: One injection of PRP improved pain and function for 6 months for patients with early knee OA. This study supports putting the one-injection regimen into clinical practice. Further research is needed for more definite conclusions.
Cardiac autonomic neuropathy in fibromyalgia: Revisited
Authors: Kulshreshtha Poorvi , Deepak Kishore Kumar , Yadav Raj Kumar , Mukherjee Didhiti
Published: June 2021

BACKGROUND: Fibromyalgia (FM) is associated with widespread autonomic dysfunction where sympathetic predominance explains associated complaints such as widespread pain, sleep disorders and anxiety. Recent studies indicate a possible neurovascular autonomic interaction in the pathogenesis of FM. OBJECTIVE: Our study paradigm included a modified Ewing’s battery of autonomic function tests to find the cardiac autonomic neuropathy (CAN) in FM patients. The battery comprises some tests such as the Valsalva maneuver, which are effort-dependent, so we also aimed to identify a potential simplified test out of the whole battery as an index marker of CAN in FM patients. METHODS: Forty-two female patients with FM were included in this study and were administered sympathetic and parasympathetic reactivity tests to explore the presence of CAN. We compared the results from each sympathetic and parasympathetic reactivity test against CAN. RESULTS: Delta heart rate in the deep breathing test was significantly different in patients with and without CAN. Delta heart rate also exhibited best diagnostic performance (AUC = 0.769, 95% CI: 0.619–0.920, p< 0.001), with 88% sensitivity, 64% specificity, and 89% negative predictive value (NPV). The 30: 15 ratio during the lying to standing test also emerged as a suitable index; however it did not show any difference between CAN and non-CAN patients. CONCLUSION: The delta heart rate has the best diagnostic accuracy, primarily in CAN’s exclusion by its very high sensitivity and NPV.
The prevalence of spondylolysis and intervertebral disc degeneration in male pole vaulters
Authors: Enoki Shota , Kuramochi Rieko , Nakajyuku Shinya , Mitsuyama Hirohito
Published: June 2021

BACKGROUND: The lower back is the most common injury location in pole vaulters, but the prevalence of lumbar spondylolysis and intervertebral disc degeneration is not known. OBJECTIVE: This study aimed to determine the prevalence of lumbar spondylolysis and intervertebral disc degeneration in pole vaulters. METHODS: This cross-sectional study was conducted in the Tokai area of Japan and included 21 pole vaulters (mean ± standard deviation [range]: age, 22.2 ± 3.2 [18–28] years; height, 172.2 ± 4.7 [165.0–182.0] cm; body weight, 67.6 ± 7.3 [54.0– 80.0] kg). The majority of pole vaulters were collegiate athletes. We performed anterior, lateral, and oblique radiography at 45∘ and magnetic resonance imaging in the sagittal and coronal planes of the lumbar spine. The evaluation was performed independently of whether the athletes had lower back pain (LBP). Moreover, we investigated the duration of pole-vaulting experience and history and current presence of LBP using a questionnaire. RESULTS: The prevalence of lumbar spondylolysis and intervertebral disc degeneration was 28.6% (6/21) and 38.1% (8/21), respectively. Herniation was found in six discs in four vaulters (19.0%). All athletes had a history of LBP. The prevalence of lumbar spondylolysis was high (28.6%). CONCLUSIONS: Sport-specific movements performed by pole vaulters may be a risk factor for lumbar spondylolysis.
Early Denosumab for the prevention of osteoporotic fractures in breast cancer women undergoing aromatase inhibitors: A case-control retrospective study
Authors: Scaturro Dalila , de Sire Alessandro , Terrana Pietro , Curci Claudio , Vitagliani Fabio , Falco Vincenzo , Cuntrera Daniele , Iolascon Giovanni , Mauro Giulia Letizia
Published: June 2021

BACKGROUND: Aromatase inhibitors (AIs) might have a detrimental impact on bone health in breast cancer (BC) women. Denosumab has been shown to reduce the risk of fractures, but the appropriate time for starting is yet to be clearly defined. OBJECTIVE: To evaluate the effects of early treatment with Denosumab (⩽ 12 months after starting AIs) compared to a delayed treatment in BC women. METHODS: In this retrospective case-control study, we included medical records of BC post-menopausal women, treated with AIs therapy; they were divided as: study group (starting Denosumab ⩽ 12 months after AIs) and control group (> 12 months). At the baseline (T0) and at 18 months (T1), we evaluated the lumbar spine (LS) Tscore and femoral neck (FN) Tscore. Furthermore, at T1 we assessed the incident fragility fractures. RESULTS: Fifty-nine BC survivors (mean age: 61.5 ± 11.5 years) were included: 28 with Early Denosumab and 31 with Late Denosumab. At T1, the study group did not show any incident hip or vertebral fragility fracture, whereas the Late Denosumab group showed 2 incident hip fractures (6.5%) and 4 (12.9%) vertebral fragility fractures. Early Denosumab showed a significant positive effect on both LS (p= 0.044) and FN (p= 0.024) Tscore variations. CONCLUSION: Taken together, our findings suggest that an early start of Denosumab might be considered for the osteoporosis management in BC women undergoing AIs.
The expression and diagnostic value of serum levels of EphA2 and VEGF-A in patients with colorectal cancer
Authors: Wang Ganbiao , Wang Yigao , Yang Xiaodong , Zhang Yaqin , Lu Yida , Li Yongxiang
Published: June 2021

BACKGROUND: Several molecules are highly expressed in the serum of cancer patients, and can be used as serological markers. This approach has become one of the important auxiliary diagnostic methods for cancer. AIM: To investigate the correlation between the serum levels of EphA2 and VEGF-A and the pathogenesis of colorectal cancer (CRC) as well as the potential value of these molecules in the diagnosis of CRC. METHODS: ELISA was used to detect the levels of EphA2 and VEGF-A in the peripheral venous serum of 106 newly diagnosed patients with CRC and 69 normal controls. The relationship between the serum EphA2 and VEGF-A levels and the clinicopathological characteristics of CRC patients was analyzed. ROC analysis was used to investigate the diagnostic value of the serum EphA2 and VEGF-A levels in CRC, and the optimal cutoff value was calculated. RESULTS: The serum levels of EphA2 and VEGF-A in the CRC group were higher than those in the control as well as CEA, the serum level of EphA2 was positively correlated with the VEGF-A levels, but neither was significantly associated with the clinicopathological parameters of CRC. The ROC curve showed that the single index AUC was < 0.7 except for VEGF-A, and the accuracy of the combined diagnosis was higher than that of any other single index. The diagnosis scheme involving all three markers was the best (the sensitivity was 60.40%, the specificity was 92.8%, and the accuracy was 53.1%). The best critical values calculated were EphA2 > 297.92 ng/ml, EphA2 > 183.92 pg/ml and CEA > 5.19 ng/ml. CONCLUSION: The serum levels of EphA2 and VEGF-A are high in CRC patients, and the combine detection of CEA, EphA2 and VEGF-A can significantly improve the diagnostic accuracy of CRC.
Progressive alteration of DNA methylation of Alu, MGMT, MINT2, and TFPI2 genes in colonic mucosa during colorectal cancer development
Authors: Kang Ben , Lee Hyun Seok , Jeon Seong Woo , Park Soo Yeun , Choi Gyu Seog , Lee Won Kee , Heo Somi , Lee Duk Hee , Kim Dong Sun
Published: June 2021

BACKGROUND: Colorectal cancer (CRC) is one of the leading causes of mortality and morbidity in the world. It is characterized by different pathways of carcinogenesis and is a heterogeneous disease with diverse molecular landscapes that reflect histopathological and clinical information. Changes in the DNA methylation status of colon epithelial cells have been identified as critical components in CRC development and appear to be emerging biomarkers for the early detection and prognosis of CRC. OBJECTIVE: To explore the underlying disease mechanisms and identify more effective biomarkers of CRC. METHODS: We compared the levels and frequencies of DNA methylation in 11 genes (Alu, APC, DAPK, MGMT, MLH1, MINT1, MINT2, MINT31, p16, RGS6, and TFPI2) in colorectal cancer and its precursor adenomatous polyp with normal tissue of healthy subjects using pyrosequencing and then evaluated the clinical value of these genes. RESULTS: Aberrant methylation of Alu, MGMT, MINT2, and TFPI2 genes was progressively accumulated during the normal-adenoma-carcinoma progression. Additionally, CGI methylation occurred either as an adenoma-associated event for APC, MLH1, MINT1, MINT31, p16, and RGS6 or a tumor-associated event for DAPK. Moreover, relatively high levels and frequencies of DAPK, MGMT, and TFPI2 methylation were detected in the peritumoral nonmalignant mucosa of cancer patients in a field-cancerization manner, as compared to normal mucosa from healthy subjects. CONCLUSION: This study identified several biomarkers associated with the initiation and progression of CRC. As novel findings, they may have important clinical implications for CRC diagnostic and prognostic applications. Further large-scale studies are needed to confirm these findings.
From protests to practice: Confronting systemic racism in LIS
Authors: Chancellor Renate L. , DeLoach Paige , Dunbar Anthony , Lee Shari , Singh Rajesh
Published: June 2021

The death of George Floyd, at the hands of the Minnesota police on May 25, 2020, sparked a global uproar that many have argued has not occurred since the Civil Rights movement of the 1960s. It is unclear why this particular incident elicited such a visceral and widespread response, especially in light of the fact that police brutality towards Blacks in America is not a new phenomenon. This paper examines the national response to Floyd’s death within the contexts of CRT, the history of systemic racism in the United States, and questions how race and inequity issues have been addressed in LIS. The authors provide actionable measures that could go a long way in moving the discipline toward a shift in thinking. However, they find that these efforts need to be sustained, because one-shot events, training sessions, or activities rarely result in any real change. Real progress, they conclude, will require more than new laws. It will also require a seismic societal shift in attitude.
A critical analysis of the study of gender and technology in government
Authors: Feeney Mary K. , Fusi Federica
Published: June 2021

Research at the intersection of feminist organizational theory and techno-science scholarship notes the importance of gender in technology design, adoption, implementation, and use within organizations and how technology in the workplace shapes and is shaped by gender. While governments are committed to advancing gender equity in the workplace, feminist theory is rarely applied to the analysis of the use, adoption, and implementation of technology in government settings from the perspective of public managers and employees. In this paper, we argue that e-government research and practice can benefit from drawing from three streams of feminist research: 1) studying gender as a social construct, 2) researching gender bias in data, technology use, and design, and 3) assessing gendered representation in technology management. Drawing from feminist research, we offer six propositions and several research questions for advancing research on e-government and gender in public sector workplaces.
Digital governance in Mongolia and Taiwan: A gender perspective
Authors: Buyannemekh Battulga , Chen Tzuhao
Published: June 2021

The objective of this country report is to apply a gender lens to examine the development of digital governance in two democratic countries in the Asia-Pacific: Mongolia and Taiwan. By studying various contextual factors and presenting interpretations associated with gender and the process of digital transformation in these two countries, this research underscores the gender-based differences in ICT usage based on the available data from governmental and other official sources. The paper concludes with possible e-government practices that can help mitigate digital gender divide and transition to gender-sensitive, evidence-based policymaking that serves both genders.
Support characteristics and application of permanent magnet suspension active mass drive system
Authors: Gao Sumei , Ju Quanyong , Jin Chaowu
Published: June 2021

In this paper, a kind of permanent magnet (PM) suspension active mass drive mechanism is proposed, and its structure is designed. It has the advantages of non-contact, almost zero friction, small volume, and so on. Aiming at the active driving mass mechanism of PM suspension, the unidirectional PM suspension system and bi-directional PM suspension system are designed respectively, and their analytical models are established. By analyzing and calculating the magnetic force of the unidirectional and bi-directional PM suspension system, the support coefficient of the suspension system is deduced. After theoretical analysis, the structure is simulated and verified by ANSYS MAXWELL 3D in order to determine the correctness of the analytical calculation of the model. Finally, a test device is made and experiments are carried out in the constant temperature laboratory. The experimental results show that the Nd-Fe-B PMs used in the unidirectional suspension system can provide a maximum force of 260 N, which verify the feasibility of the PM suspension active mass drive system.
Impact of Climate Change and Surface Energy (Im) Balance on North-East India Monsoonal Rainfall
Authors: Kumar Pramod
Published: June 2021

In recent decades, climate change and its impact on the ecosystem has remained a concern from global to regional to local scale. Many studies performed over India have highlighted the change in precipitation associated with the Indian summer monsoon (ISM) and its linkage with changed land surface processes. Over North-East India (NEI), changed surface and atmospheric energy imbalance due to increase in wasteland, deforestation and over cultivation have made the soil barren. In addition, soil moisture of barren land has decreased, latent (sensible) heat decreased (increased) with stimulating ground heat increment. This led to lower evapotranspiration and convection leading to precipitation decrement. To analyse this in detail, the present study shows a lower increase in the near surface temperature during 1956-1985 (period I), but a higher increasing trend has been seen during 1986-2015 (period II). In the case of precipitation trends, an increase during period I and a decrease at a 95% significant level during period II are seen. The average air temperature warming rate increase of 0.09 °C/year is observed. The monsoonal precipitation has decreased significantly in recent years (1986-2015) than that in the past (1956-1985). In addition, a decrease in monsoonal precipitation at 0.35 mm/year rate during period II is seen over NEI. A prominent increment of 0.12 W/m2 is observed in surface sensible heat flux over NEI. Land use land cover change (LULCC) is continuously altering the local rate of change of thermal radiation, evapotranspiration and convection, and has also played a critical role in defining monsoonal precipitation over NEI. However, the surface net solar and thermal radiation change are in equilibrium with the surface sensible and latent heat for sustaining the surface energy budget. Hence, a small change in surface net radiation causes an imbalance of surface energetics. It is one of the most prominent causes for the precipitation pattern changes over NEI. The LULCCs and earth’ surface energy imbalance reinforce climate variability and climate change over the study region.
Surface Reflectance Change can Induce Reduction in the Surrounding Ambient Environment Warming
Authors: Sahu Bikram Sen , Maharana Pyarimohan , Tandon Ankit , Attri Arun K.
Published: June 2021

Global warming has emerged as a major issue of concern as the fallout would have a wide-spread impact on many climate processes in addition to posing a serious threat for human development, directly or in-directly. COP21 at the Paris agreement settled to limit global warming well below 2°C in the future. This goal can be attained by ensuring a drastic reduction in the emission of greenhouse gases or by cutting down the use of energy consumption, an obvious solution but difficult to implement. A more acceptable and easy approach would be to reduce the use of energy to cool buildings and surfaces by adopting simple scientific techniques. The present work explores the feasibility of one such approach, which can be applied in large cities and urban regions; knowing that by increasing the surface reflectance (albedo) for incoming solar short wave (SSW) radiation it is possible to decrease the temperature of the surface. If the appropriated surface area is large enough then it is possible to cause a decrease in the ambient air temperature. Three different types of heat-resistant Superseal Thermoflex P-111 coatings of different colours were applied on the roof surface to evaluate their respective reflectance properties towards the incoming SSW radiation incident on the roof with reference to the resulting surface temperature. The average reflectance in the spectral range 280-880 nm – for dark pink, light pink and white colour coats – were estimated as 0.44, 0.61 and 0.76, respectively; the obtained values were significantly larger than that observed for asphalt/cement coated surfaces. The higher reflectance of white coating leads to less heat absorption by the roof surface open to the SSW radiation and thus a significant drop in the surface temperature. Also, the heat transmitted underneath the surface space will be much reduced, even the emission (loss) of radiation (Infra-Red) from such a surface into the surrounding environment will be reduced.
Is Climate Change Affecting Women’s Health More?
Authors: Hiremath Rahul B. , Joseph Vanishree , Kumar Bimlesh , Yadav Rakesh
Published: June 2021

In this article, we argue how climate change impacts human health, especially the health of women. Scientists are estimating that by 2030, the impact of climate change cannot be reversed; in light of this, this paper argues about the importance of women segregated data to understand the issue of women’s health better so that policymakers can design appropriate policy intervention and preventive actions.
An adaptive moving grid finite difference method
Authors: Dong Yinlin
Published: June 2021

The grid generation is very crucial for the accuracy of the numerical solution of PDEs, especially for problems with very rapid variations or sharp layers, such as shock waves, wing leading and trailing edges, regions of separation, and boundary layers. The adaptive grid generation is an iterative approach to accommodate these complex structures. In this paper, we introduce a deformation based adaptive grid generation method, in which a differentiable and invertible transformation from computational domain to physical domain is constructed such that the cell volume (Jacobian determinant) of the new grid is equal to a prescribed monitor function. A vector field is obtained by solving the div-curl system and can be used to move the grids to the desired locations. By computing the inverse of Jacobian, any deformed grids can also be transformed back to the uniform grid. Several numerical results in two dimensions are presented. Some applications in image registration are discussed.
Research on LED multi-sector stable display model in variable rotational speed
Authors: Lang Luhong , Ma Dong , Dong Jun , He Junming , Xu Panpan , Ma Fan
Published: June 2021

To solve the display distortion caused by the motor rotational speed changes in the long-term operation of the rotating LED multi-sector display system, the model for LED multi-sector stable display (MSSD) in variable rotational speed is proposed based on the principle of visual persistence. The stepping motor subdivision driving technology is applied to the rotating LED multi-sector display, and the equal precision frequency measurement method is used for accurate rotational speed measurement. Then the innovation adaptive kalman filter (IAKF) is researched to further enhance the robustness to eliminate noise pollution, and the relationship between the modification value caused by rotational speed and the LED linear array minimum refresh time is analysed. The rotating LED MSSD system based on LED linear array rotated by stepping motor is provided. The test results reveal the relationship between rotational speed and the LED linear array minimum refresh time, and show that the lighting position of the LED can be synchronized with the lighting state during the rotational speed fluctuation, and the error can be controlled to a low level via LED linear array minimum refresh time correction. The designed model can effectively eliminate the distortion of the rotating LED multi-sector display screen caused by the changes of the motor rotational speed, and has a very stable display effect.
Suitable interval-valued intuitionistic fuzzy topological spaces
Authors: Sayed Osama Rashed , Sayed Nabil Hasan , Chen Gui-Xiu
Published: June 2021

In the present paper, a characterization of the intuitionistic fuzzy sets, the interval-valued intuitionistic fuzzy sets and their set-operations are given. By making use of these characterizations, the relationships between the interval-valued intuitionistic fuzzy topology and four fuzzy topologies associated to it are studied. For this reason, some subclasses of the family of interval-valued intuitionistic fuzzy topologies on a set which we call pre-suitable and suitable are introduced. Furthermore, the concepts of homeomorphism functions and compactness in the framework of interval-valued intuitionistic fuzzy topological spaces are introduced and studied.
Infrared and visible image fusion using two-layer generative adversarial network
Authors: Chen Lei , Han Jun , Tian Feng
Published: June 2021

Infrared (IR) images can distinguish targets from their backgrounds based on difference in thermal radiation, whereas visible images can provide texture details with high spatial resolution. The fusion of the IR and visible images has many advantages and can be applied to applications such as target detection and recognition. This paper proposes a two-layer generative adversarial network (GAN) to fuse these two types of images. In the first layer, the network generate fused images using two GANs: one uses the IR image as input and the visible image as ground truth, and the other with the visible as input and the IR as ground truth. In the second layer, the network transfer one of the two fused images generated in the first layer as input and the other as ground truth to GAN to generate the final fused image. We adopt TNO and INO data sets to verify our method, and by comparing with eight objective evaluation parameters obtained by other ten methods. It is demonstrated that our method is able to achieve better performance than state-of-arts on preserving both texture details and thermal information.
An improved grey Markov chain model with ANN error correction and its application in gross domestic product forecasting
Authors: Zou Yuan , Yang Daoli , Pan Yuchen
Published: June 2021

Gross domestic product (GDP) is the most widely-used tool for measuring the overall situation of a country’s economic activity within a specified period of time. A more accurate forecasting of GDP based on standardized procedures with known samples available is conducive to guide decision making of government, enterprises and individuals. This study devotes to enhance the accuracy regarding GDP forecasting with given sample of historical data. To achieve this purpose, the study incorporates artificial neural network (ANN) into grey Markov chain model to modify the residual error, thus develops a novel hybrid model called grey Markov chain with ANN error correction (abbreviated as GMCM_ANN), which assembles the advantages of three components to fit nonlinear forecasting with limited sample sizes. The new model has been tested by adopting the historical data, which includes the original GDP data of the United States, Japan, China and India from 2000 to 2019, and also provides predications on four countries’ GDP up to 2022. Four models including autoregressive integrated moving average model, back-propagation neural network, the traditional GM(1,1) and grey Markov chain model are as benchmarks for comparison of the predicted accuracy and application scope. The obtained results are satisfactory and indicate superior forecasting performance of the proposed approach in terms of accuracy and universality.
Action classification and analysis during sports training session using fuzzy model and video surveillance
Authors: Li Zhao , Fathima G. , Kautish Sandeep
Published: June 2021

Activity recognition and classification are emerging fields of research that enable many human-centric applications in the sports domain. One of the most critical and challenged aspects of coaching is improving the performance of athletes. Hence, in this paper, the Adaptive Evolutionary Neuro-Fuzzy Inference System (AENFIS) has been proposed for sports person activity classification based on the biomedical signal, trial accelerator data and video surveillance. This paper obtains movement data and heart rate from the developed sensor module. This small sensor is patched onto the user’s chest to get physiological information. Based on the time and frequency domain features, this paper defines the fuzzy sets and assess the natural grouping of data via expectation-maximization of the probabilities. Sensor data feature selection and classification algorithms are applied, and a majority voting is utilized to choose the most representative features. The experimental results show that the proposed AENFIS model enhances accuracy ratio of 98.9%, prediction ratio of 98.5%, the precision ratio of 95.4, recall ratio of 96.7%, the performance ratio of 97.8%, an efficiency ratio of 98.1% and reduces the error rate of 10.2%, execution time 8.9% compared to other existing models.
Activity classification and analysis during sports training session using fuzzy model
Authors: Zhang Li , Xie Jingyi , Antonidoss A. , Anbarasan M.
Published: June 2021

Sport training is a sporting performance preparation phase that consists of four parts: Training in conditioning, technical Training, Training in attitude, Training in psychology. The challenging factor of the sports training session is the realization of approximate and uncertainty. The valued idea involves the definition of fuzzy sets and rules and membership functions to overcome the challenges. A fuzzy logical explanation enables successful ambiguous situations, which are complex, continuous, and more practical, closer to the real world and human thought. The concept, which is highly valued, includes defining fluids and rules and membership functions to test training exercises for strength. This paper proposed a Fuzzy, assisted artificial intelligence monitoring framework (FAAIMF) that evaluates all athletes’ behaviors in an outdoor training setting using wearable inertial sensors. Data obtained from sensor fitted machines, feedback, and proper implementation requirements are considered in the design. The Random Forest Classifier uses a Discreet Transform Wavelet (DWT) to effectively and accurately effectively and accurately id. Second, the relative orientation of the wearable inertial sensors on a shield and thigh of a material from which the knee angle of flexion-extension is determined. The proposed method in various non-constrained settings for the exact classification of sports activities and accurate movement techniques assessment.
Research on dark channel dehazing of single-image based on non-dispersive infrared (NDIR) detection technology
Authors: Zheng Xiangtian , Xu Zhiyuan
Published: June 2021

This paper presents an experimental study on the non-dispersive infrared (NDIR) detection technology and dark channel dehazing technology. Based on the analysis of Beer-Lambert Law and differential carbon dioxide detection principle, this paper proposes an atmospheric light value estimation algorithm based on NDIR detection technology. First, the change characteristics of the gas concentration in indoor smoky environment are collected and analyzed. Then appropriate weighting coefficients are chosen based on the gas characteristics to estimate the atmospheric light value. Finally, the digital image dehazing technology through dark channel prior is used for calculation to obtain a haze-free image with high quality and high resolution. The experiment in this paper proves the feasibility of combining NDIR detection technology with dehazing technology, and its ability to improve image quality and achieve better restoration effect.
Space robot motion path planning based on fuzzy control algorithm
Authors: Shi Baoyu , Wu Hongtao
Published: June 2021

Path planning technology is one of the core technologies of intelligent space robot. Combining image recognition technology and artificial intelligence learning algorithm for robot path planning in unknown space environment has become one of the hot research issues. The purpose of this paper is to propose a spatial robot path planning method based on improved fuzzy control, aiming at the shortcomings of path planning in the current industrial space robot motion control process, and based on fuzzy control algorithm. This paper proposes a fuzzy obstacle avoidance method with speed feedback based on the original advantages of the fuzzy algorithm, which improves the obstacle avoidance performance of space robot under continuous obstacles. At the same time, we integrated the improved fuzzy obstacle avoidance strategy into the behavior-based control technology, making the avoidance become an independent behavioral unit. Divide the path planning into a series of relatively independent behaviors such as fuzzy obstacle avoidance, cruise, trend target, and deadlock by the behavior-based method. According to the interaction information between the space robot and the environment, each behavior acquires the dominance of the robot through the competition mechanism, making the robot complete the specific behavior at a certain moment, and finally realize the path planning. Furthermore, to improve the overall fault tolerance of the space, robot we introduced an elegant downgrade strategy, so that the robot can successfully complete the established task in the case of control command deterioration or failure of important information, avoiding the overall performance deterioration effectively. Therefore, through the simulation experiment of the virtual environment platform, MobotSim concluded that the improved algorithm has high efficiency, high security, and the planned path is more in line with the actual situation, and the method proposed in this paper can make the space robot successfully reach the target position and optimize the spatial path, it also has good robustness and effectiveness.
Construction engineering cost estimation based on artificial intelligence technology
Authors: Wu Weiying , Huang Hui
Published: June 2021

The determination of construction project cost is one of the important contents of construction project management, but the estimation of construction project cost generally has the disadvantages of large errors and long preparation time. With the continuous development of computer science, artificial intelligence theory is one of the hot research topics. The purpose of this article is to study the construction cost estimation based on artificial intelligence technology. Based on the theoretical basis of artificial neural network, genetic algorithm, and engineering cost, this paper proposes an optimized radial basic function (RBF) model based on genetic algorithm (GA). The search feature combines the width, center, and hidden layer weights of the RBF network with genetic algorithms to self-correct, thereby greatly improving the accuracy of the model calculation results. In this paper, according to the model’s error (actual output-expected output), the four test samples were tested separately, and the error values obtained were 0.0125, 0.1009, –0.0791, and 0.0514. This shows the accuracy of the experimental results of the model [R] higher.
Application of fuzzy sliding mode control method based on cyber-physics fusion system in mechanical resonance suppression
Authors: Guo Zhiyan , Xia Jiakuan , Li Zexing
Published: June 2021

Modern high-end digital manufacturing has continuously improved the performance requirements for servo drive systems. High-performance servo drive systems should have excellent dynamic performance and steady-state performance. At present, an AC permanent magnet servo drive system using a permanent magnet synchronous motor as the drive motor has become the mainstream of contemporary servo drive systems. Servo system (servo mechanism), also known as servo systems, generally contains feedback control links, mainly used to accurately follow or reproduce a certain process. The servo system is mainly composed of a controller, a power drive device, a feedback device, a transmission device, a motor, and a load. In a servo system, the existence of mechanical resonance will cause serious damage to the transmission mechanism of the system and will reduce the reliability and accuracy of the system. When the performance of the system deteriorates severely, it will lead to system instability or even safety accidents. This article aims to study the use of fuzzy sliding mode control methods to control the generation of mechanical resonance, to further eliminate the phenomenon of mechanical resonance in the servo system. This paper puts forward the methods to eliminate chattering generated by sliding mode control, mainly including filtering method, eliminating uncertainty, intelligent algorithm optimization, reducing switching gain, and fan shape. The experimental results in this paper show that when the angular speed feedback of the motor is adopted, the maximum value of the speed difference is close to 3rad/s. It can be considered that there is resonance in the system, and the load resonance is the main factor. When the angular velocity feedback at the load end is used, the maximum value of the speed difference is about 0.05rad/s, and it can be considered that the resonance has been successfully suppressed.
Machining technology of shaft parts based on CAD technology
Authors: Guo Caiping
Published: June 2021

With the continuous development of manufacturing industry, the requirements of process design with system intelligence and informatization are higher and higher. Traditional manual technology can not meet the modern requirements, modern intelligent computer-aided process design is more and more widely used. The purpose of this study is to use CAD technology with process shaft technology. In this study, different radii of shaft components were selected and horizontal tensions of 600 kN and 1200 kN were applied to test their effects and efficiency. We compared the processing efficiency and accuracy of conventional manual processing technology and computer-assisted design. In this study, a parametric process planning template with constraint knowledge is established for each part group and stored in the process planning template library. A parametric process plan was derived using the 3d model and the feature parameters extracted from the specific manufacturing environment knowledge base. The results show that the amplitude frequency characteristic of the whole workpiece increases first and then decreases from the chuck to the tip, and the amplitude frequency characteristic amplitude is the largest at the distance of 3/4 from the chuck. The maximum value appears at 174.47Hz and the amplitude is 0.000427N/mm. Compared with manual machining, the machining time of CAD machining mode is reduced by 22.94%, the metal removal rate is increased by 34%, and the cutting efficiency is significantly improved. It is concluded that the computer-aided design technology in this study plays a more accurate and time-saving role in the processing of shaft parts and contributes to the intelligent part processing.