bluuebunny/crossref_metadata_2025 huggingface dataset:
Matrix Metalloproteinases (MMPs) in Targeted Drug Delivery: Synthesis of a Potent and Highly Selective Inhibitor against Matrix Metalloproteinase-7
Authors: Wang Ling-Li , Zhang Bing , Zheng Ming-Hua , Xie Yu-Zhong , Wang Chang-Jiang , Jin Jing-Yi
Published: July 2020

Background:

Matrix metalloproteinases (MMPs) are a family of zinc endopeptidases that
play a key role in both physiological and pathological tissue degradation. MMPs have reportedly shown
great potentials in the degradation of the Extracellular Matrix (ECM), have shown great potentials in
targeting bioactive and imaging agents in cancer treatment. MMPs could provoke Epithelial to Mesenchymal
Transition (EMT) of cancer cells and manipulate their signaling, adhesion, migration and invasion
to promote cancer cell aggressiveness. Therefore, targeting and particularly inhibiting MMPs
within the tumor microenvironment is an effective strategy for cancer treatment. Based on this idea, different
MMP inhibitors (MMPIs) have been developed to manipulate the tumor microenvironment towards
conditions appropriate for the actions of antitumor agents. Studies are ongoing to improve the selectivity
and specificity of MMPIs. Structural optimization has facilitated the discovery of selective inhibitors
of the MMPs. However, so far no selective inhibitor for MMP-7 has been proposed.

Aims:

This study aims to comprehensively review the potentials and advances in applications of MMPs
particularly MMP-7 in targeted cancer treatment approaches with the main focus on targeted drug delivery.
Different targeting strategies for manipulating and inhibiting MMPs for the treatment of cancer are
discussed. MMPs are upregulated at all stages of expression in cancers. Different MMP subtypes have
shown significant targeting applicability at the genetic, protein, and activity levels in both physiological
and pathophysiological conditions in a variety of cancers. The expression of MMPs significantly increases
at advanced cancer stages, which can be used for controlled release in cancers in advance stages.

Methods:

Moreover, this study presents the synthesis and characteristics of a new and highly selective
inhibitor against MMP-7 and discusses its applications in targeted drug delivery systems for therapeutics
and diagnostics modalities.

Results:

Our findings showed that the structure of the inhibitor P3’ side chains play the crucial role in
developing an optimized MMP-7 inhibitor with high selectivity and significant degradation activities
against ECM.

Conclusion:

Optimized NDC can serve as a highly potent and selective inhibitor against MMP-7 following
screening and optimization of the P3’ side chains, with a Ki of 38.6 nM and an inhibitory selectivity
of 575 of MMP-7 over MMP-1.
Cedrus deodara (Bark) Essential Oil Induces Apoptosis in Human Colon Cancer Cells by Inhibiting Nuclear Factor kappa B
Authors: Bhagat Madhulika , Kumar Ajay , Suravajhala Renuka
Published: July 2020

Aims:

The aim of this study is to explore essential oil from the bark of Cedrus deodara
(CDEO) as an potential anticancer agent.

Background:

The frontline drugs against cancer in clinical settings are posing challenges of resistance
and other detrimental side-effects. This has led to the exploration of new anticancer chemical entities
from natural sources, particularly plant-based products such as essential oils that serve as vast repositories
of pharmacologically active substances for combating cancer.

Objective:

The objective is to isolate and characterize the essential oil from the bark of Cedrus deodara
(CDEO) and evaluate its potential as an anticancer agent and delineate the possible underlying mechanism
of action.

Methods:

Cedrus deodara essential oil from bark (CDEO) was obtained by hydro-distillation and analyzed
by GC/MS for vital constituents. Further, in vitro cytotoxic potential was measured by MTT assay
against a panel of cancer cell lines. The apoptosis-inducing potential of CDEO was analyzed by mitochondrial
membrane potential loss (ΔΨm) and nuclear fragmentation assay. Besides, wound healing assay
and colonogenic assay were employed to check the anti-metastatic potential of CDEO. Molecular
docking approaches were employed for target identification, while immuno-blotting was carried out for
target validation.

Results and Discussion:

The major components identified were 2-(tert-Buyl)-6-methyl-3-(2- (trifluoromethyl)
benzyl)imidazo [1,2-a]pyridine (26.32 %);9- Octadecenoic acid (8.015 %); Copaene (5.181
%);2-(4-Methoxy-2,6-dimethylphenyl) -3-methyl-2H- benzo[g]indazole(4.36 %) and 9(E),11(E)-
Conjugated linoleic acid (4.299 %). Further, potent in vitro cytotoxic activity with IC50 values of 11.88
μg/ ml and 14.63 μg/ ml in colon cancer cell lines of HCT-116 and SW-620, respectively. Further, a
significant and dose-dependent decrease in colony formation, cell migration, induction of ROS formation
and loss in ΔΨm was observed. Additionally, major compounds identified were chosen for ligandprotein
binding interaction studies to predict the molecular targets in colon cancer. It was observed that
compounds such as 9-Octadecenoic acid;4H-1- Benzopyran-4-one, 3-(3,4-dimethoxyphenyl)-6,7-
dimethoxy; 2-(4-Methoxy-2,6-dimethylphenyl) -3-methyl-2H-benzo [g]indazole and 2-Bornanol,5-(2,4-
dinitro phenyl) hydrazono have a prominent binding affinity with NF-κB. This was also further validated
by immuno-blotting results wherein CDEO treatment in colon cancer cells led to the abrogation of
NFκB, and the Bcl-2-associated X protein (Bax): B-cell lymphoma (Bcl)-2 ratio was up-regulated leading
to enhanced cleaved caspase 3 formation and subsequent apoptosis.

Conclusion:

These results unveil CDEO inhibits cell proliferation and induces apoptosis in colon cancer
cells, which can be attributed to the abrogation of the NFκB signaling pathway.
Lead Generation for Human Mitotic Kinesin Eg5 Using Structure-based Virtual Screening and Validation by In-vitro and Cell-based Assays
Authors: Makala Himesh , Alexandar Soundarya Priya , Nagarajan Devipriya , Mahapatra Santanu Kar , Ulaganathan Venkatasubramanian
Published: July 2020

Background:

Human mitotic kinesins play a crucial role in mitotic cell division. Targeting the spindle
separation phase of mitosis has gained much attention pharmaceutically in cancer chemotherapy. Spindle segregation is
carried out mainly by Eg5 kinesin, and currently, it has many inhibitors in different phases of clinical trials. All the
current drug candidates bind un-competitively with ATP/ADP at allosteric site 1 (formed by loop L5, helix α2 and helix
α3). Recent experiments show that inhibitors that bind to the site 2 (formed by helix α4 and helix α6) are either
competitive or uncompetitive to ATP/ADP.

Objectives:

To identify suitable lead compounds that target the mitotic kinesin Eg5, using in silico screening and their
validation using in vitro and cell-based assays.

Methodology:

We have screened for potential inhibitors for human Eg5 (kinesin-5) through structure-based virtual
screening and validated the top-scoring compounds using steady-state ATPase assay, differential scanning fluorimetry
and microscale thermophoresis. The anticancer activity of the compounds was evaluated in the epithelial (A549) and
chronic myelogenous leukaemia (K562) cancer cell lines. A known strong binding inhibitor S-trityl-L-cystine is used as a
reference compound.

Results & Conclusion:

Of the many compounds tested, MM01 and MM03 showed good cell-based activity against the
cancer cell lines A549 and K562 and can be further studied in animal models.
Preparation and Characterization of Calcium Carbonate Reinforced Poly (3-hydroxybutyrate-co-3-hydroxyvalerate) Biocomposites
Authors: Kirboga Semra , Öner Mualla , Deveci Süleyman
Published: July 2020

Background:

The objective of this work was to develop biopolymer/calcium carbonate biocomposites with enhanced properties, relative to the neat polymer, by using low-cost filler calcium carbonate (CaCO3). To this end, we selected as matrices Poly (3-hydroxybutyrate-co-3- hydroxyvalerate, PHBV), which has attracted the most considerable interest among the biopolymers in industry.

Methods:

Novel biodegradable PHBV/CaCO3composites with 0.1-1 wt% of CaCO3content were manufactured by melt extrusion. The effect of the CaCO3on the thermal, barrier and dynamic mechanical properties of the PHBV was comprehensively investigated by SEM, XRD, FTIR, TGA, DSC, and DMA. The water and oxygen barrier properties of the biocomposites were also measured.

Results:

DSC and XRD analysis showed that CaCO3served as a nucleating agent, promoting crystallinity and crystal size. The addition of CaCO3particles has a small effect on lamellae thickness and distribution. DMA measurements showed considerable improvements in storage modulus and viscose damping by incorporating CaCO3particles. The storage modulus of the PHBV at 20°C in the DMA was increased up to 76% and loss modulus was increased up to 175% when composite was prepared with 0.1wt% coated CaCO3particle. Water vapor and oxygen permeability were measured to study the effect of particles on the barrier properties of composite samples. Biocomposites exhibited smaller oxygen transmission rate (OTR) and water vapor transmission rate (WVTR) due to the increase in crystallinity and tortuosity of the composite samples.

Conclusion:

The results of this study have demonstrated that properties of biocomposites prepared by using low-cost commercially available filler are greatly improved to obtain the high-performance composites.
Mesenchymal Stem Cells Seeded Decellularized Tendon Scaffold for Tissue Engineering
Authors: K Niveditha , CA Vineeth , Joseph Josna , U Arun , John Annie , Abraham Annie
Published: July 2020

Tendon is a collagenous tissue to connect bone and muscle. Healing of damaged/injured
tendon is the primary clinical challenge in musculoskeletal regeneration because they often react
poorly to treatment. Tissue engineering (a triad strategy of scaffolds, cells and growth factors) may
have the potential to improve the quality of tendon tissue healing under such impaired situations. Tendon
tissue engineering aims to synthesize graft alternatives to repair the injured tendon. Biological
scaffolds derived from decellularized tissue may be a better option as their biomechanical properties
are similar to the native tissue. This review is designed to provide background information on the current
challenges in curing torn/worn out the tendon and the clinical relevance of decellularized scaffolds
for such applications.
Quantitative and Qualitative Bibliometric Scope Toward the Synthesis of Rose Oxide as a Natural Product in Perfumery
Authors: Ziarani Ghodsi Mohammadi , Mohajer Fatemeh , Jamali Seyedh Mahboobeh , Ebrahim Nader Ale
Published: July 2020

Rose Oxide is a monoterpene along with cyclic ether used in fragrance to produce rosy notes, in general,
there are 4 stereoisomeric structures of the Rose Oxide, which the cis-configured Rose Oxide has a very
unique and strong note in perfumery. In this review, several approaches were reported on account of the Rose
Oxide applied in perfumery from 1864 to 2019 via quantitative and qualitative approaches.
Propitious Profile of Peppery Piperine
Authors: Bakshi Harman , Nagpal Manju , Singh Manjinder , Dhingra Gitika A. , Aggarwal Geeta
Published: July 2020

Background:

Piperine is a key bioactive alkaloid found in plants of piperaceae family.
The compound possesses various medicinal and pharmacological activities (cholesterol-lowering,
anti-cancer, Alzheimer’s disease etc.). Owing to its various target receptors (TRPV1, P-gp,
CYP3A4 etc.) and several mechanisms, piperine has been studied as bio-enhancer for other drugs
and its role has been evidenced in the literature. When administered with other drugs, it increases
the absorption of other drugs, thereby reducing the dose and dose-related toxic potential. There are
various mechanisms of piperine as a bio-enhancer and the common ones are i) prevention of efflux
of drug molecules out of the cells; ii) decreased metabolism of drugs, thereby prolonging the halflife
of drugs resulting in reduced urinary excretion. The detailed mechanism indicating the bio-enhancing
role of piperine along with various target receptors has not been comprehensively summarised
to date.

Methods:

Literature related to the molecular, enzymatic and receptor targets of piperine were studied and database was
collected using various search engines such as j-gate, google scholar, scihub, pubmed, sciencedirect etc. The literature
related to therapeutic activities of piperine and its bio-enhancer role for other drugs has been thoroughly studied and
compiled in brief.

Results:

A detailed summary of piperine targets along with related mechanisms has been stated. A brief therapeutic
profile of piperine alone has been produced with supporting literature. Piperine role as a potential bio-enhancer for other
drugs has been summarized.

Conclusion:

Piperine is a fascinating molecule of natural origin with several modes of its action,
not only possesses its own therapeutic activity but also enhances the therapeutic efficacy of other
synthetic and natural drug molecules. Combination dosage forms of various API incorporating
piperine as a bio-enhancer can be a potential area of thrust for upcoming drug design and development.
Multipliers Based on Approximate Compressors
Authors: Maitra Subhashis
Published: July 2020

Background:

Approximate computing is an emerging trend in recent year that trades off the requirement of exact computation
for the improvement of speed and power performance.

Objective:

Researchers are trying to improve the speed and power performance proposing different algorithm.

Method:

This paper proposes approximate compressors used for the design of approximate multipliers.

Results:

By using the proposed method, approximate multipliers of different length have been synthesized and a comparative study with
previously presented multipliers have been dealt here which shows that the proposed circuits have better speed and power.

Conclusion:

Finally the proposed circuits have been used for image processing applications.
Acceptability and Effectiveness of NHS-Recommended e-Therapies for Depression, Anxiety, and Stress: Meta-Analysis
Authors: Simmonds-Buckley Melanie , Bennion Matthew Russell , Kellett Stephen , Millings Abigail , Hardy Gillian E , Moore Roger K
Published: July 2020

Background

There is a disconnect between the ability to swiftly develop e-therapies for the treatment of depression, anxiety, and stress, and the scrupulous evaluation of their clinical utility. This creates a risk that the e-therapies routinely provided within publicly funded psychological health care have evaded appropriate rigorous evaluation in their development.

Objective

This study aims to conduct a meta-analytic review of the gold standard evidence of the acceptability and clinical effectiveness of e-therapies recommended for use in the National Health Service (NHS) in the United Kingdom.

Methods

Systematic searches identified appropriate randomized controlled trials (RCTs). Depression, anxiety, and stress outcomes at the end of treatment and follow-up were synthesized using a random-effects meta-analysis. The grading of recommendations assessment, development, and evaluation approach was used to assess the quality of each meta-analytic comparison. Moderators of treatment effect were examined using subgroup and meta-regression analysis. Dropout rates for e-therapies (as a proxy for acceptability) were compared against controls.

Results

A total of 24 studies evaluating 7 of 48 NHS-recommended e-therapies were qualitatively and quantitatively synthesized. Depression, anxiety, and stress outcomes for e-therapies were superior to controls (depression: standardized mean difference [SMD] 0.38, 95% CI 0.24 to 0.52, N=7075; anxiety and stress: SMD 0.43, 95% CI 0.24 to 0.63, n=4863), and these small effects were maintained at follow-up. Average dropout rates for e-therapies (31%, SD 17.35) were significantly higher than those of controls (17%, SD 13.31). Limited moderators of the treatment effect were found.

Conclusions

Many NHS-recommended e-therapies have not been through an RCT-style evaluation. The e-therapies that have been appropriately evaluated generate small but significant, durable, beneficial treatment effects.

Trial Registration

International Prospective Register of Systematic Reviews (PROSPERO) registration CRD42019130184; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=130184
Causality Analysis of Google Trends and Dengue Incidence in Bandung, Indonesia With Linkage of Digital Data Modeling: Longitudinal Observational Study
Authors: Syamsuddin Muhammad , Fakhruddin Muhammad , Sahetapy-Engel Jane Theresa Marlen , Soewono Edy
Published: July 2020

Background

The popularity of dengue can be inferred from Google Trends that summarizes Google searches of related topics. Both the disease and its Google Trends have a similar source of causation in the dengue virus, leading us to hypothesize that dengue incidence and Google Trends results have a long-run equilibrium.

Objective

This research aimed to investigate the properties of this long-run equilibrium in the hope of using the information derived from Google Trends for the early detection of upcoming dengue outbreaks.

Methods

This research used the cointegration method to assess a long-run equilibrium between dengue incidence and Google Trends results. The long-run equilibrium was characterized by their linear combination that generated a stationary process. The Dickey-Fuller test was adopted to check the stationarity of the processes. An error correction model (ECM) was then adopted to measure deviations from the long-run equilibrium to examine the short-term and long-term effects. The resulting models were used to determine the Granger causality between the two processes. Additional information about the two processes was obtained by examining the impulse response function and variance decomposition.

Results

The Dickey-Fuller test supported an implicit null hypothesis that the dengue incidence and Google Trends results are nonstationary processes (P=.01). A further test showed that the processes were cointegrated (P=.01), indicating that their particular linear combination is a stationary process. These results permitted us to construct ECMs. The model showed the direction of causality of the two processes, indicating that Google Trends results will Granger-cause dengue incidence (not in the reverse order).

Conclusions

Various hypothesis testing results in this research concluded that Google Trends results can be used as an initial indicator of upcoming dengue outbreaks.
QardioArm Blood Pressure Monitoring in a Population With Type 2 Diabetes: Validation Study
Authors: Mazoteras-Pardo Victoria , Becerro-De-Bengoa-Vallejo Ricardo , Losa-Iglesias Marta Elena , Martínez-Jiménez Eva María , Calvo-Lobo César , Romero-Morales Carlos , López-López Daniel , Palomo-López Patricia
Published: July 2020

Background

Home blood pressure monitoring has many benefits, even more so, in populations prone to high blood pressure, such as persons with diabetes.

Objective

The purpose of this research was to validate the QardioArm mobile device in a sample of individuals with noninsulin-dependent type 2 diabetes in accordance with the guidelines of the second International Protocol of the European Society of Hypertension.

Methods

The sample consisted of 33 patients with type 2 diabetes. To evaluate the validity of QardioArm by comparing its data with that obtained with a digital sphygmomanometer (Omron M3 Intellisense), two nurses collected diastolic blood pressure, systolic blood pressure, and heart rate with both devices.

Results

The analysis indicated that the test device QardioArm met all the validation requirements using a sample population with type 2 diabetes.

Conclusions

This paper reports the first validation of QardioArm in a population of individuals with noninsulin-dependent type 2 diabetes. QardioArm for home monitoring of blood pressure and heart rate met the requirements of the second International Protocol of the European Society of Hypertension.
The Anatomy of the SARS-CoV-2 Biomedical Literature: Introducing the CovidX Network Algorithm for Drug Repurposing Recommendation
Authors: Gates Lyndsey Elaine , Hamed Ahmed Abdeen
Published: July 2020

Background

Driven by the COVID-19 pandemic and the dire need to discover an antiviral drug, we explored the landscape of the SARS-CoV-2 biomedical publications to identify potential treatments.

Objective

The aims of this study are to identify off-label drugs that may have benefits for the coronavirus disease pandemic, present a novel ranking algorithm called CovidX to recommend existing drugs for potential repurposing, and validate the literature-based outcome with drug knowledge available in clinical trials.

Methods

To achieve such objectives, we applied natural language processing techniques to identify drugs and linked entities (eg, disease, gene, protein, chemical compounds). When such entities are linked, they form a map that can be further explored using network science tools. The CovidX algorithm was based upon a notion that we called “diversity.” A diversity score for a given drug was calculated by measuring how “diverse” a drug is calculated using various biological entities (regardless of the cardinality of actual instances in each category). The algorithm validates the ranking and awards those drugs that are currently being investigated in open clinical trials. The rationale behind the open clinical trial is to provide a validating mechanism of the PubMed results. This ensures providing up to date evidence of the fast development of this disease.

Results

From the analyzed biomedical literature, the algorithm identified 30 possible drug candidates for repurposing, ranked them accordingly, and validated the ranking outcomes against evidence from clinical trials. The top 10 candidates according to our algorithm are hydroxychloroquine, azithromycin, chloroquine, ritonavir, losartan, remdesivir, favipiravir, methylprednisolone, rapamycin, and tilorone dihydrochloride.

Conclusions

The ranking shows both consistency and promise in identifying drugs that can be repurposed. We believe, however, the full treatment to be a multifaceted, adjuvant approach where multiple drugs may need to be taken at the same time.
Correction: Technology-Based Interventions in Oral Anticoagulation Management: Meta-Analysis of Randomized Controlled Trials (Preprint)
Authors: Dai Hengfen , Zheng Caiyun , Lin Chun , Zhang Yan , Zhang Hong , Chen Fan , Liu Yunchun , Xiao Jingwen , Chen Chaoxin
Published: July 2020

UNSTRUCTURED

An increasing number of patients have received prophylactic or therapeutic oral anticoagulants (OACs) for thromboembolic complications of diseases. The use of OACs is associated with both clinical benefits and risks. Considering the challenges imposed by this class of drugs, as well as the enormous progress made in portable device technology, it is possible that technology-based interventions may improve clinical benefits for patients and optimize anticoagulation management. This study was designed to comprehensively evaluate the role of technology-based interventions in the management of OACs. We searched 6 databases—PubMed, EMBASE, Cochrane, Cumulative Index to Nursing and Allied Health Literature, Scopus, and PsycINFO—to retrieve relevant studies published as of November 1, 2019, to evaluate the effect of technology-based interventions on oral anticoagulation management. RevMan (version 5.3; Cochrane) software was used to evaluate and analyze clinical outcomes. The methodological quality of studies was assessed by the Cochrane risk of bias tool. A total of 15 randomized controlled trials (RCTs) were selected for analysis. They reported data for 2218 patients (1110 patients in the intervention groups and 1108 patients in the control groups). A meta-analysis was performed on the effectiveness and safety data reported in the RCTs. Technology-based interventions significantly improved the effectiveness of oral anticoagulation management (mean difference [MD]=6.07; 95% CI 0.84-11.30; I2=72%; P=.02). The safety of oral anticoagulation management was also improved, but the results were not statistically significant. Bleeding events were reduced (major bleeding events MD=1.02; 95% CI 0.78-1.32; I2=0%; P=.90; minor bleeding events MD=1.06, 95% CI 0.77-1.44; I2=41%; P=.73) and thromboembolism events were reduced (MD=0.71; 95% CI 0.49-1.01; I2=0%; P=.06). In general, patients were more satisfied with technology-based interventions, which could also improve their knowledge of anticoagulation management, improve their quality of life, and reduce mortality and hospitalization events. Using technology to manage OACs can improve the effectiveness and safety of oral anticoagulation management, result in higher patient satisfaction, and allow greater understanding of anticoagulation.
Does Wearing a Face Mask During the COVID-19 Pandemic Increase the Incidence of Dermatological Conditions in Health Care Workers? Narrative Literature Review (Preprint)
Authors: Wilcha Robyn-Jenia
Published: July 2020

BACKGROUND

COVID-19 is a health emergency. SARS-CoV-2 was discovered in Wuhan (Hubei Province, China) and has rapidly spread worldwide, leaving no country untouched. COVID-19 is a respiratory infection characterized by a pneumonia of unknown etiology. It is transmitted through respiratory droplets; for example: through breathing, talking, and coughing. Transmission of the virus is high. Health care workers play important roles in helping those affected by COVID-19; this could not be done without the use of personal protective equipment (PPE). PPE involves the use of goggles, masks, gloves, and gowns and is known to reduce COVID-19 transmission; however, multiple reports of skin disease and damage associated with occupational mask-wearing have emerged.

OBJECTIVE

The objective of this study is to review the literature for newly emerging dermatological conditions as a result of occupational mask-wearing during the COVID-19 pandemic.

METHODS

A narrative review of new reports of dermatological conditions associated with occupational mask-wearing was carried out in May 2020 by referencing keywords including: “covid mask dermatology,” “covid dermatological damage,” “covid mask skin,” “covid N95 mask damage,” and “covid mask skin damage” from PubMed, supplemented by searches on both Google Scholar and ResearchGate. A total of 287 articles were found, of which 40 were successfully included in this study, and an additional 7 were selected from the reference lists of these 40 articles. The findings were tabulated and analyzed under the following headings: dermatological diagnosis, causes, and management.

RESULTS

Qualitative analysis of the reviewed data was carried out. A number of dermatological conditions were found to increasingly occur owing to prolonged and frequent use of face masks. Pressure-related injuries were often the most serious complaint; recommendations to reduce this type of injury include the use of hydrocolloid dressings, plastic handles, education, and regular moisturization. Innovation in PPE as well as services, such as virtual clinics, need to be advanced to protect the welfare of health care staff.

CONCLUSIONS

In these unprecedented times, PPE has been an effective barrier to the transmission of COVID-19 among health care workers. This has allowed health care workers to provide care to patients, with minimal risk. However, our findings suggest that despite the obvious benefits of using face masks to protect the respiratory system, there are also considerable health consequences to the skin. Future research studies are required to focus on improving face masks to ensure both the protection of the respiratory system as well as skin care, which, according to our study, has been overlooked.
Evaluation of a Remote Symptom Assessment and Management (SAM) System for People Receiving Adjuvant Chemotherapy for Breast or Colorectal Cancer: Mixed Methods Study (Preprint)
Authors: Whitehead Lisa , Emery Laura , Kirk Deborah , Twigg Diane , Brown Deborah , Dewar Joanna
Published: July 2020

BACKGROUND

The Symptom Assessment and Management (SAM) program is a structured, online, nurse-supported intervention to support symptom self-management in people receiving adjuvant chemotherapy post surgery for breast or colorectal cancer.

OBJECTIVE

The objective of this study was to describe the development, implementation strategy, and evaluation of the SAM system.

METHODS

The development of the SAM program involved 3 phases. In phase 1, the web app was developed through consultation with consumers and clinicians and of the literature to ensure that the system was evidence-based and reflected the realities of receiving treatment and supporting patients through treatment. In phase 2, 7 participants recorded the severity of 6 symptoms daily over the course of 1 cycle of chemotherapy. In phase 3, 17 participants recorded their symptoms daily over the course of 3 cycles of chemotherapy. Once symptoms were recorded, participants received immediate feedback on the severity of their symptoms and self-management recommendations, which could include seeking immediate medical attention. Data on quality of life, symptom burden, anxiety and depression, distress, and self-efficacy were collected during treatment; participants’ perceptions of the SAM program were evaluated following participation via interview.

RESULTS

The outcomes of the SAM project include the development of a system that is reliable and easy to use and navigate. Participants reported benefits related to using the SAM program that included feeling more in control of managing their symptoms and feeling reassured. Engagement with the system on a daily basis was variable, with some participants completing the symptom tracker daily and others engaging some of the time. The feedback from all participants was that the system was easy to navigate and the information was relevant and supportive.

CONCLUSIONS

The SAM program has the potential to enhance the management of symptoms for people receiving chemotherapy treatment. The system creates an accurate repository of symptoms that can be accessed easily and highlight patterns in symptom experience. These can be shared with clinicians, with patient permission, to inform and support treatment plans. The potential to predict the risk of developing severe symptoms can be developed to anticipate the need for care and support. Further considerations on how to increase engagement with the system, the value of the system for people diagnosed with other tumor types and treatment regimes, and the incorporation of the system into everyday clinical practice are needed.
The anthropometric generalization of the Body Mass Index (Preprint)
Authors: Godescu Alexandru
Published: July 2020

BACKGROUND

While he BMI is assumed to indicate obesity in sedentary people and in people who do not practice sports, it is undisputed and a consensus among researchers that Body Mass Index (BMI) is not a good indicator for obesity in people who developed their body through heavy physical work or sport but also in other segments of population such as those who appear to have a normal weight but in fact have a high body fat percentage and obese methabolism. The BMI also does not include all the variables essential for a health predictor. The BMI is not always a good predictor of metabolic disease, people who appear of healthy weight according to BMI have in some cases an obese metabolic syndrome.

OBJECTIVE

Develop a generalization of the body mass index explaining the results of a number of highly cited research papers showing how fat distribution and muscle strength are predictors or mortality, morbidity, ill health, loss of function

METHODS

In essence, my method is theoretic, to develop a formula explaining highly cited experimental research. It is like theoretical physics, developing a formula to explain important experiments and building a theory to generalize the body mass index. I use also data and perform numerical simulation of the formulae

RESULTS

My formulae explain the causality in the important experiments in medicine and sport cited by me. the formulae can be used to develop new experiments

CONCLUSIONS

I develop a direct generalization of BMI, in the mathematical and physiological sense to account for fat and fat free mass and muscles, small and large body frames. It is the first such generalization because the classic BMI can be determined as a particular case of my formulae in the strict mathematical and practical physiologic sense. Most of the experimental proof I bring in support of my formulae and bodyweight quantification theory comes from many highly cited experimental research publications in medicine, sports medicine, sport science and physiology. My formulae explain also performance in decades of competitive sports and athletics
Одночастотные кольцевые полупроводниковые лазеры с волоконным резонатором
Authors: Дураев В.П. , Медведев С.В. , Воронченко С.А.
Published: July 2020

Представлены результаты исследований перестраиваемых одночастотных кольцевых полупроводниковых лазеров на длине волны 1 550 и 1 650 нм с волоконным резонатором. Изложены принципы конструирования кольцевых полупроводниковых лазеров с волоконным резонатором с сохранением поляризации и без сохранения поляризации. Обоснован одночастотный режим работы и перестройки длины волны полупроводникового кольцевого лазера. Обсуждаются основные характеристики полупроводниковых кольцевых лазеров и области их применения.

The results of studies of tunable single-­frequency ring semiconductor lasers at a wavelength of 1550 and 1650 nm with a fiber cavity are presented. The principles of designing ring semiconductor lasers with a fiber cavity with conservation of polarization and without conservation of polarization are stated. The single-­frequency operation and tuning of the wavelength of a semiconductor ring laser is substantiated. The main characteristics of semiconductor ring lasers and their applications are discussed.
Rancang Bangun Mirror Repository Linux Menggunakan Load-Balanced Mirror Service System (LMSS) Pada Private Cloud
Authors: Fawaid Ibnu Haris , Risqiwati Diah , Akbi Denar Regata
Published: July 2020

Abstrak Meningkatnya permintaan pembaharuan aplikasi berbasis open source karena seiring meningkatnya jumlah pengguna sistem operasi Linux, oleh karenanya ketika banyak pengguna linux yang melakukan permintaan pembaharuan aplikasi menyebabkan lambatnya kecepatan unduh dan membutuhkan waktu lama. Salah satu solusinya yaitu dengan membuat mirror repository linux agar memudahkan dan menawarkan koneksi pengguna yang lebih baik. Namun demikian, suatu saat ketika semakin bertambah jumlah pengguna mirror tersebut akan mengalami penurunan kualitas download hingga dapat mengalami down, sehingga tidak dapat melayani permintaan pembaharuan pengguna dengan baik. Penelitian ini bertujuan untuk merancang dan membangun Mirror Repository Linux dengan menggunakan Load-balanced Mirror Service System (LMSS) dengan mengintegrasikan beberapa MIrror Server yang dibangun secara generate melalui Manage Large Network (MLN), dengan pembagian beban menggunakan Linux Virtual Server (LVS) pada metode Network Address Translation (NAT). Sehingga beban permintaan dari client dapat ditangani Mirror Server secara bersama – sama. Dengan demikian, rata – rata waktu download dapat berkurang sebanyak 17,2 % daripada menggunakan Single Server.AbstractThe increasing demand for open source-based application updates is due to the increasing number of users of Linux operating systems, therefore when many Linux users who request an application update cause slow download speed and takes a long time. One solution is to create Mirror Repository Linux in order to facilitate and offer better user connections. However, a time when the number of mirror users will decrease the quality of download until it can down, so it can not serve user renewal request well. This research aims to design and build linux mirror repositories by using Load-balanced Mirror Service System (LMSS) by integrating multiple Mirror Server generated via Manage Large Network (MLN), with load sharing using Linux Virtual Server (LVS) Network Address Translation (NAT). LMSS there is a Director Server as a counter / load manager that passes on the server, which will be forwarded to the destination server. So that the request load from the client can be handled Mirror Server together. Thus, the average download time can be reduced by 17.2% rather than using a single server.
Transliterasi Melayu ke Jawi Menggunakan Teknik Pemetaan Karakter
Authors: Fatahillah Dzulfikar
Published: July 2020

Malay to jawi transliteration generally used to writing translated books from arabic and islamic book who developed by moeslem scholar in southeast asia. Malay to jawi transliteration currently using arabic word approach. That the result close to real arabic word. But in the development of Malay language many changes in the spelling and new terms. So have not yet solve homograph problems, less vowel, and spelling not consistency. Transliteration in this study using the Malay spelling approach using the character mapping method based on the sound of letters in general in Malay words. This research transliterates all characters / letters of each word from one or more sentences. so that no letters are lost and the option of adding a sign in vowels. From the tests conducted on the new jawi using the version of the Pusat Rujukan Persuratan Melayu (PRPM), the level of jawi is reduced and by using the vowel sign option so while using that option the homograph has not been found.Malay to jawi transliteration generally used to writing translated books from arabic and islamic book who developed by moeslem scholar in southeast asia. Malay to jawi transliteration currently using arabic word approach. That the result close to real arabic word. But in the development of Malay language many changes in the spelling and new terms. So have not yet solve homograph problems, less vowel, and spelling not consistency. Transliteration in this study using the Malay spelling approach using the character mapping method based on the sound of letters in general in Malay words. This research transliterates all characters / letters of each word from one or more sentences. so that no letters are lost and the option of adding a sign in vowels. From the tests conducted on the new jawi using the version of the Pusat Rujukan Persuratan Melayu (PRPM), the level of jawi is reduced and by using the vowel sign option so while using that option the homograph has not been found.
Aplikasi Media Pembelajaran Operasi Hitung Perkalian dan Pembagian Berbasis Android
Authors: Anggraini Mairissa , Marthasari Gita Indah , Husniah Lailatul
Published: July 2020

Semakin banyaknya teknologi yang berkembang pada saat ini menjadi suatu hal yang penting karena dapat membantu dalam mengerjakan kegiatan sehari-hari seperti pada aplikasi yang dibangun ini bertujuan untuk meningkatkan minat belajar para siswa. Berdasarkan analisis yang dilakukan kepada guru pengajar dan siswa sekolah dasar kelas 3, kebanyakan guru pengajar masih menggunakan media gambar, biji-bijian dan lain sebagainya untuk mempraktek kan perhitungan perkalian dan pembagian. Matematika memang dianggap pelajaran yang sulit bagi kalangan siswa, maka dari itu dibuat aplikasi berbasis android untuk membuat siswa mudah memahami pelajaran sesuai dengan kurikulum disekolah. Sehingga siswa dapat menjadi aktif dalam belajar agar mereka tidak jenuh dengan pelajaran yang monoton yang tentunya akan menjadi pengaruh terhadap pencapaian hasil pembelajaran yang lebih optimal. Berdasarkan hasil evaluasi aplikasi yang telah dibuat dilakukan pengujiaan tes kegunaan dengan menggunakan metode system usability scale (SUS) yang dapat memberikan hasil berdasarkan perolehan sampel dengan cara kuisioner. Perhitungan system usability scale (SUS) didapat dengan cara mencari nilai rata-rata dari seluruh responden. Hal ini yang menjadi informasi layak atau tidaknya aplikasi yang dibangun. Nilai yang didapat untuk aplikasi ini yaitu 75, 4 sehingga dapat dikatakan bahwa aplikasi ini telah berjalan dengan baik. Selain itu juga dilakukan kuisioner dengan jumlah responden sebanyak 34 siswa, dari hasil kuisioner tersebut didapatkan bahwa aplikasi ini dapat membantu mereka untuk belajar perkalian dan pembagian.
Aplikasi Rekomendasi Rumah Makan Menggunakan Algoritma K-Nearest Neighbour Berbasis Android (Studi kasus : Kecamatan Banyuwangi)
Authors: Ardhiansyah Edo , Basuki Setio , Wicaksono Galih Wasis
Published: July 2020

Banyak wisatawan yang silih berganti datang ke Kota Banyuwangi untuk berwisata alam, budaya, maupun kuliner. Banyak pengusaha yang mulai menggeluti bisnis rumah makan karena banyaknya wisatawan yang datang. Semakin menjamurnya bisnis rumah makan di kota Banyuwangi membuat menu makanan yang disajikan beraneka ragam. Tentunya akan membuat kebingungan untuk memilih rumah makan mana yang ingin dikunjungi. Dari permasalahan tersebut, peneliti membuat sebuah aplikasi sistem rekomendasi untuk menentukan pencarian lokasi makan berdasarkan kategori kisaran harga, makanan berkuah, digoreng, dibakar, makanan tradisional Banyuwangi, dan lain-lain. Diimplementasikan menggunakan teknologi android yang semakin memudahkan dalam mengakses aplikasi ini. Aplikasi ini dapat mempermudah pencarian lokasi, karena adanya fasilitas Google Maps API yang dapat menunjukkan titik koordinat lokasi. Dalam penelitian ini, rekomendasi untuk mencari rumah makan akan menggunakan Algoritma K-Nearest Neighbor (K-NN).
Rancang Bangun Sistem Informasi Rekam Medis Menggunakan Model Rapid Application Development (RAD)
Authors: Amin Muhammad , Maskur Maskur , Suharso Wildan
Published: July 2020

AbstrakSistem rekam medis Rumah Sakit Wijaya Kusuma Lumajang digunakan untuk mengelola data rekam medis yang meliputi data pendaftaran dan data medis pasien. Dimana sistem rekam medis yang digunakan ada saat itu sudah tidak sesuai dengan kebutuhan petugas rekam medis saat ini, sehingga dibuatkan sistem yang baru khusus bagian rekam medis yang sesuai dengan kebutuhan petugas rekam medis dengan cara menambahkan dokumen elisitasi agar supaya sesuai dengan kebutuhan petugas rekam medis. Sistem tersebut berbasis website dengan menggunakan model pengembangan perangkat lunak Rapid Application Development (RAD) dengan adanya penambahan fitur perhitungan rekam medis otomatis yang dulunya perhitungan tersebut dilakukan secara manual, fitur untuk menampilkan diagram rekam medis, dan fitur kode ICD10 dan ICD 9 yang lebih lengkap sesuai dengan buku kamus besar kode rekam medis. Pengujian sistem rekam medis ini nantinya akan di uji dengan menggunakan pengujian Blackbox Testing dan pengujian User Acceptance Test (UAT). Sistem rekam medis yang dibuat dan kembangkan sudah digunakan pihak bagian rekam medis rumah sakit sampai saat ini.AbstractHospital medical record system Wijaya Kusuma Lumajang is used to manage medical record data including registration data and medical data of patient. Where the medical record system used there at that time was not in accordance with the needs of the current medical record officer, so created a new system specifically the medical record in accordance with the needs of medical record officers by adding elicitation documents to fit the needs of medical record staff. The system is based on a website using Rapid Application Development (RAD) software development model with the addition of automatic medical record calculation feature which used to be done manually, feature to display medical record diagram, and feature ICD10 and ICD 9 code more complete accordingly with a large dictionary book of medical record codes. Testing of this medical record system will be tested by using Blackbox Testing test and User Acceptance Test (UAT). The medical record system developed and developed has been used by the hospital medical record to date.
Algoritma Maze Generator Recursive Backtracking Untuk Membuat Prosedural Labirin Pada Game Petualangan Labirin 3D
Authors: Setiadharma Elbert , Husniah Lailatul , Kholimi Ali Sofyan
Published: July 2020

Perkembangan game diranah industri berkembang pesat, banyak inovasi yang telah diciptakan agar dapat memaksimalkan kinerja sistem yang mulai kian beragam bersamaan dengan banyak hal yang ditawarkan. melihat perkembangan ini banyak developer pintar memilah metode-metode yang diperlukan agar proses pembuatan game tidak terhambat. salah satu komponen dalam game yang perlu diperhatikan lebih adalah environment, dimana environment merupakan unsur game yang sangat penting. kebanyakan developer merasa kesulitan dalam menciptakan environment yang beragam namun dalam waktu yang singkat. salah satu cara menyiasati adalah dengan cara menerapkan metode procedural content Generator. konteks environment yang mudah dalam penerapan untuk skala prototyping adalah labirin, dimana segala unsur komponen game didalamnya dapat ditentukan sesuai variabel yang telah dirancang oleh developer game. metode algoritma penerapan untuk PCG environment beragam terutama pada bidang labirin, salah satunya algoritmanya adalah Recursive Backtracking, dimana algoritma ini banyak digunakan demi mendapatkan environment yang sesuai dengan kehendak developer game serta banyak memiliki keuntungan dibandingkan dengan algoritma PCG dalam bidang labirin lainnya. berbekal penelitian sebelumnya yang mengatakan bahwa algoritma Recursive Backtracking merupakan algoritma yang tepat untuk mengolah konten labirin secara prosedural, maka penelitian ini akan dilakukan untuk membuktikan apakah algoritma Backtracking dalam pembuatan PCG untuk bidang labirin telah sesuai dengan pernyataan penelitian sebelumnya.
Implementasi Deep Learning Menggunakan Arsitektur Long Short Term Memory(LSTM) Untuk Prediksi Curah Hujan Kota Malang
Authors: Rizki Muhammad , Basuki Setio , Azhar Yufis
Published: July 2020

Tidak selamanya cuaca di Indonesia berjalan dengan normal atau sesuai dengan musimnya, cuaca sering berubah secara tiba-tiba setiap saat karena ada faktor-faktor yang mempengaruhi penurunan dan peningkatan curah hujan. perkiraan cuaca sangatlah dibutuhkan dan sangat bermanfaat olah berbagai pihak karena bisa menjadi acuan bagi berbagai kalangan untuk menjalani kegiatan mereka sehari-hari. Penelitian dilakukan menggunakan metode Deep Learning karena dari beberapa penelitian sebelumnya yang menggunakan Deep Learning dalam kasus yang berbeda mampu menghasilkan akurasi diatas 85%. Deep learning adalah jaringan yang terdiri dari beberapa layer. Layer-layer tersebut berasal dari kumpulan node-node. Arsitektur yang digunakan yaitu Long Short Term Memory(LSTM) karena pada penelitian-penelitian sebelumnya menggunakan LSTM dalam kasus yang berbeda mendapat hasil yang baik yaitu RME yang dihasilkan kecil. LSTM memiliki struktur seperti rantai dan struktur pada tiap sel terdapat 3 gate yaitu forget gate, input gate, dan output gate. Oleh karena itu, perhitungan yang dilakukan lebih kompleks ditambah lagi dengan Deep Learning diharapkan mendapat hasil yang lebih akurat. Data yang digunakan yaitu data curah hujan kota Malang yang berasal dari BMKG.
Pembuatan Sistem Dashboard Akreditasi Institusi Perguruan Tinggi Standar 4 Berbasis Key Performance Indicator
Authors: Mansyur Abu Abbas , Hariyady Hariyady , Minarno Agus Eko
Published: July 2020

Sistem Dashboard sangat dibutuhkan dalam proses Akreditasi Institusi Perguruan Tinggi, system dashboard mempermudah proses monitoring sebuah kinerja yang sedang dilaksanakan. Proses penilaian akreditasi menggunakan indicator­-indicator tertentu untuk menandakan kondisi suatu proyek, proses akreditasi memerlukan datavdan informasi dari semua pihak-pihak yang berkaitan dengan perguruan tinggi. Indicator-indicator yang digunakan bersumber dari BAN-PT berdasarkan data dari setiap komponen yang ada di perguruan tinggi. Data dan informasi tersebut harus sesuai dengan kondisi internal yang ada di perguruan tinggi sekarang ini. Karena nantinya hasil dari penelitian ini digunakan untuk proses evaluasi akreditasi di asa yang akan dating. Sehingga kedepannya suatu perguruan tinggi bias mempertahankan ataupun meningkatkan nilai akreditasi